Xiaodong Li

Orcid: 0000-0003-0346-1526

Affiliations:
  • RMIT University, Evolutionary Computation and Machine Learning Research Group, Melbourne, VIC, Australia
  • University of Otago, Dunedin, New Zealand (PhD)


According to our database1, Xiaodong Li authored at least 226 papers between 1998 and 2024.

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Bibliography

2024
Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes.
CoRR, 2024

2023
Multiobjectivization of Single-Objective Optimization in Evolutionary Computation: A Survey.
IEEE Trans. Cybern., June, 2023

Ranking constraint relaxations for mixed integer programs using a machine learning approach.
EURO J. Comput. Optim., January, 2023

Adaptive solution prediction for combinatorial optimization.
Eur. J. Oper. Res., 2023

Automatic meter error detection with a data-driven approach.
Eng. Appl. Artif. Intell., 2023

From Programming Bugs to Multimillion-Dollar Scams: An Analysis of Trapdoor Tokens on Decentralized Exchanges.
CoRR, 2023

Improving Robustness and Accuracy of Ponzi Scheme Detection on Ethereum Using Time-Dependent Features.
CoRR, 2023

Learning to Generate Columns with Application to Vertex Coloring.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Large-Scale Optimization and Learning.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Rug-pull malicious token detection on blockchain using supervised learning with feature engineering.
Proceedings of the 2023 Australasian Computer Science Week, 2023

2022
A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization - Part II.
IEEE Trans. Evol. Comput., 2022

A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization - Part I.
IEEE Trans. Evol. Comput., 2022

Merged Differential Grouping for Large-Scale Global Optimization.
IEEE Trans. Evol. Comput., 2022

Enhanced Multifactorial Evolutionary Algorithm With Meme Helper-Tasks.
IEEE Trans. Cybern., 2022

Surrogate-assisted population based ACO for resource constrained job scheduling with uncertainty.
Swarm Evol. Comput., 2022

A speciation-based bilevel niching method for multimodal truss design problems.
J. Comb. Optim., 2022

A hybrid multiobjective GRASP for a multi-row facility layout problem with extra clearances.
Int. J. Prod. Res., 2022

Enhancing Constraint Programming via Supervised Learning for Job Shop Scheduling.
CoRR, 2022

Adaptive Population-based Simulated Annealing for Uncertain Resource Constrained Job Scheduling.
CoRR, 2022

Boosting ant colony optimization via solution prediction and machine learning.
Comput. Oper. Res., 2022

Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2022

Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Multimodal Optimization: Formulation, Heuristics, and a Decade of Advances.
Proceedings of the Metaheuristics for Finding Multiple Solutions, 2021

Finding Representative Solutions in Multimodal Optimization for Enhanced Decision-Making.
Proceedings of the Metaheuristics for Finding Multiple Solutions, 2021

A tri-objective preference-based uniform weight design method using Delaunay triangulation.
Soft Comput., 2021

Using Statistical Measures and Machine Learning for Graph Reduction to Solve Maximum Weight Clique Problems.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Generalization of machine learning for problem reduction: a case study on travelling salesman problems.
OR Spectr., 2021

Solving the maximum edge disjoint path problem using a modified Lagrangian particle swarm optimisation hybrid.
Eur. J. Oper. Res., 2021

Generating Large-scale Dynamic Optimization Problem Instances Using the Generalized Moving Peaks Benchmark.
CoRR, 2021

Improving Evolutionary Multitasking Optimization by Leveraging Inter-Task Gene Similarity and Mirror Transformation.
IEEE Comput. Intell. Mag., 2021

Learning Primal Heuristics for Mixed Integer Programs.
Proceedings of the International Joint Conference on Neural Networks, 2021

Bayesian preference learning for interactive multi-objective optimisation.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Novelty particle swarm optimisation for truss optimisation problems.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Reducing Perceived Waiting Time in Theme Park Queues via an Augmented Reality Game.
ACM Trans. Comput. Hum. Interact., 2020

A Survey of Weight Vector Adjustment Methods for Decomposition-Based Multiobjective Evolutionary Algorithms.
IEEE Trans. Evol. Comput., 2020

A genetic algorithm with local search for solving single-source single-sink nonlinear non-convex minimum cost flow problems.
Soft Comput., 2020

An adaptive penalty-based boundary intersection method for many-objective optimization problem.
Inf. Sci., 2020

Instance Space Analysis for the Car Sequencing Problem.
CoRR, 2020

Probabilistic tree-based representation for solving minimum cost integer flow problems with nonlinear non-convex cost functions.
Appl. Soft Comput., 2020

Automatic decomposition of mixed integer programs for lagrangian relaxation using a multiobjective approach.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Non-deterministic journey planning in multi-modal transportation networks: a meta-heuristic approach.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Survey on Cooperative Co-Evolutionary Algorithms.
IEEE Trans. Evol. Comput., 2019

A novel scalable test problem suite for multimodal multiobjective optimization.
Swarm Evol. Comput., 2019

User-preference based decomposition in MOEA/D without using an ideal point.
Swarm Evol. Comput., 2019

Iterated feature selection algorithms with layered recurrent neural network for software fault prediction.
Expert Syst. Appl., 2019

Bandit-based cooperative coevolution for tackling contribution imbalance in large-scale optimization problems.
Appl. Soft Comput., 2019

An improved merge search algorithm for the constrained pit problem in open-pit mining.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

NSGA-II for Solving Multiobjective Integer Minimum Cost Flow Problem with Probabilistic Tree-Based Representation.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Improving Algorithm Response to Preference Changes in Multiobjective Optimisation Using Archives.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Decomposition for Large-scale Optimization Problems with Overlapping Components.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Challenging AI: Evaluating the Effect of MCTS-Driven Dynamic Difficulty Adjustment on Player Enjoyment.
Proceedings of the Australasian Computer Science Week Multiconference, 2019

2018
A Dynamic Neighborhood Learning-Based Gravitational Search Algorithm.
IEEE Trans. Cybern., 2018

A Bi-Level Optimization Model for Grouping Constrained Storage Location Assignment Problems.
IEEE Trans. Cybern., 2018

Learning Options From Demonstrations: APac-ManCase Study.
IEEE Trans. Games, 2018

Binary dragonfly optimization for feature selection using time-varying transfer functions.
Knowl. Based Syst., 2018

A two phase hybrid algorithm with a new decomposition method for large scale optimization.
Integr. Comput. Aided Eng., 2018

Cooperative Coevolution with Formula-Based Variable Grouping for Large-Scale Global Optimization.
Evol. Comput., 2018

Enhancing robustness of the inverted PBI scalarizing method in MOEA/D.
Appl. Soft Comput., 2018



Conditional Preference Learning for Personalized and Context-Aware Journey Planning.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

A Probabilistic Tree-Based Representation for Non-convex Minimum Cost Flow Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Interactive multiobjective optimisation: preference changes and algorithm responsiveness.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

A merge search algorithm and its application to the constrained pit problem in mining.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Multi-objective journey planning under uncertainty: a genetic approach.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Adaptive threshold parameter estimation with recursive differential grouping for problem decomposition.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Cooperative co-evolution with online optimizer selection for large-scale optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Measuring player skill using dynamic difficulty adjustment.
Proceedings of the Australasian Computer Science Week Multiconference, 2018

2017
Efficient Resource Allocation in Cooperative Co-Evolution for Large-Scale Global Optimization.
IEEE Trans. Evol. Comput., 2017

DG2: A Faster and More Accurate Differential Grouping for Large-Scale Black-Box Optimization.
IEEE Trans. Evol. Comput., 2017

Seeking Multiple Solutions: An Updated Survey on Niching Methods and Their Applications.
IEEE Trans. Evol. Comput., 2017

A Scalable Approach to Capacitated Arc Routing Problems Based on Hierarchical Decomposition.
IEEE Trans. Cybern., 2017

A backtracking search hyper-heuristic for the distributed assembly flow-shop scheduling problem.
Swarm Evol. Comput., 2017

ANTS 2016 special issue: Editorial.
Swarm Intell., 2017

On decomposition methods in interactive user-preference based optimization.
Appl. Soft Comput., 2017

Reservoir flood control operation using multi-objective evolutionary algorithm with decomposition and preferences.
Appl. Soft Comput., 2017

A time-varying transfer function for balancing the exploration and exploitation ability of a binary PSO.
Appl. Soft Comput., 2017

Differential Evolution Based Hyper-heuristic for the Flexible Job-Shop Scheduling Problem with Fuzzy Processing Time.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

A Study on Pre-training Deep Neural Networks Using Particle Swarm Optimisation.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Visualizing the Search Dynamics in a High-Dimensional Space for a Particle Swarm Optimizer.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Multi-objective search-based approach to estimate issue resolution time.
Proceedings of the 13th International Conference on Predictive Models and Data Analytics in Software Engineering, 2017

Evolutionary large-scale global optimization: an introduction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Towards solving large-scale precedence constrained production scheduling problems in mining.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Multimodal truss structure design using bilevel and niching based evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Monte Carlo tree search based algorithms for dynamic difficulty adjustment.
Proceedings of the IEEE Conference on Computational Intelligence and Games, 2017

Preliminary Study on Solving Coal Processing and Blending Problems Using Lexicographic Ordering.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017

An Evolutionary Approach for Learning Conditional Preference Networks from Inconsistent Examples.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

Extending the Delaunay Triangulation Based Density Measurement to Many-Objective Optimization.
Proceedings of the Artificial Life and Computational Intelligence, 2017

Estimating Passenger Preferences Using Implicit Relevance Feedback for Personalized Journey Planning.
Proceedings of the Artificial Life and Computational Intelligence, 2017

An Evolutionary Multi-criteria Journey Planning Algorithm for Multimodal Transportation Networks.
Proceedings of the Artificial Life and Computational Intelligence, 2017

Surrogate-Assisted Multi-swarm Particle Swarm Optimization of Morphing Airfoils.
Proceedings of the Artificial Life and Computational Intelligence, 2017

2016
A Competitive Divide-and-Conquer Algorithm for Unconstrained Large-Scale Black-Box Optimization.
ACM Trans. Math. Softw., 2016

An Analysis of the Inertia Weight Parameter for Binary Particle Swarm Optimization.
IEEE Trans. Evol. Comput., 2016

On investigation of interdependence between sub-problems of the Travelling Thief Problem.
Soft Comput., 2016

DMMOGSA: Diversity-enhanced and memory-based multi-objective gravitational search algorithm.
Inf. Sci., 2016

Self-adaptive multi-objective evolutionary algorithm based on decomposition for large-scale problems: A case study on reservoir flood control operation.
Inf. Sci., 2016

Cooperative coevolutionary differential evolution with improved augmented Lagrangian to solve constrained optimisation problems.
Inf. Sci., 2016

Improving patient record search: A meta-data based approach.
Inf. Process. Manag., 2016

Efficient meta-heuristics for the Multi-Objective Time-Dependent Orienteering Problem.
Eur. J. Oper. Res., 2016

Benchmarks for the Coal Processing and Blending Problem.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

A Population-based Local Search Technique with Random Descent and Jump for the Steiner Tree Problem in Graphs.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Dynamic Choice of State Abstraction in Q-Learning.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Security-Aware Routing and Core Allocation in Elastic Optical Network with Multi-core.
Proceedings of the 12th International Conference on Computational Intelligence and Security, 2016

A Two Phase Approach Based on Dynamic Variable Grouping and Self-Adaptive Group Search for Large Scale Optimization.
Proceedings of the 12th International Conference on Computational Intelligence and Security, 2016

An Adaptive Training Framework for Increasing Player Proficiency in Games and Simulations.
Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play, 2016

CBCC3 - A contribution-based cooperative co-evolutionary algorithm with improved exploration/exploitation balance.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A Delaunay Triangulation Based Density Measurement for Evolutionary Multi-objective Optimization.
Proceedings of the Artificial Life and Computational Intelligence, 2016

A Hybrid Imperialist Competitive Algorithm for the Flexible Job Shop Problem.
Proceedings of the Artificial Life and Computational Intelligence, 2016

2015
Preference-Based Multiobjective Particle Swarm Optimization for Airfoil Design.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

Integrated Approach to Personalized Procedural Map Generation Using Evolutionary Algorithms.
IEEE Trans. Comput. Intell. AI Games, 2015

Nature-Inspired Algorithms for Real-World Optimization Problems.
J. Appl. Math., 2015

Designing benchmark problems for large-scale continuous optimization.
Inf. Sci., 2015

Editorial for the special issue of Information Sciences Journal (ISJ) on "Nature-inspired algorithms for large scale global optimization".
Inf. Sci., 2015

A decomposition based memetic algorithm for multi-objective vehicle routing problem with time windows.
Comput. Oper. Res., 2015

Enhancing theme park experiences through adaptive cyber-physical play.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

Combining Monte Carlo tree search and apprenticeship learning for capture the flag.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

Player-Computer Interaction Features for Designing Digital Play Experiences across Six Degrees of Water Contact.
Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play, 2015

An improved performance metric for multiobjective evolutionary algorithms with user preferences.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A Restricted Neighbourhood Tabu Search for Storage Location Assignment Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Sensitivity analysis of Penalty-based Boundary Intersection on aggregation-based EMO algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Heuristic evolution with Genetic Programming for Traveling Thief Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A sensitivity analysis of contribution-based cooperative co-evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Learning Options for an MDP from Demonstrations.
Proceedings of the Artificial Life and Computational Intelligence, 2015

2014
Cooperative Co-Evolution With Differential Grouping for Large Scale Optimization.
IEEE Trans. Evol. Comput., 2014

Cooperative Coevolution With Route Distance Grouping for Large-Scale Capacitated Arc Routing Problems.
IEEE Trans. Evol. Comput., 2014

An analysis of the velocity updating rule of the particle swarm optimization algorithm.
J. Heuristics, 2014

Scaling Up Solutions to Storage Location Assignment Problems by Genetic Programming.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Improving Efficiency of Heuristics for the Large Scale Traveling Thief Problem.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Why Advanced Population Initialization Techniques Perform Poorly in High Dimension?
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

A Multi-Objective A* Search Based on Non-dominated Sorting.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Decomposition and cooperative coevolution techniques for large scale global optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Reinforcement learning to control a commander for capture the flag.
Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014

A genetic programming-based hyper-heuristic approach for storage location assignment problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Effective decomposition of large-scale separable continuous functions for cooperative co-evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Integrating user preferences and decomposition methods for many-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Variable neighborhood decomposition for Large Scale Capacitated Arc Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Learning a Super Mario controller from examples of human play.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A novel hybridization of opposition-based learning and cooperative co-evolutionary for large-scale optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A review of population initialization techniques for evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Effects of population initialization on differential evolution for large scale optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Time series forecasting by evolving artificial neural networks with genetic algorithms, differential evolution and estimation of distribution algorithm.
Neural Comput. Appl., 2013

Particle Swarm Optimizer with Aging Operator for Multimodal Function Optimization.
Int. J. Comput. Intell. Syst., 2013

Neuroevolution of content layout in the PCG: Angry bots video game.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Investigation of self-adaptive differential evolution on the CEC-2013 real-parameter single-objective optimization testbed.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Differential evolution on the CEC-2013 single-objective continuous optimization testbed.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

A new performance metric for user-preference based multi-objective evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Decomposing Large-Scale Capacitated Arc Routing Problems using a random route grouping method.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Initialization methods for large scale global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

A dynamic archive niching differential evolution algorithm for multimodal optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Cooperatively Coevolving Particle Swarms for Large Scale Optimization.
IEEE Trans. Evol. Comput., 2012

A new discrete electromagnetism-based meta-heuristic for solving the multidimensional knapsack problem using genetic operators.
Oper. Res., 2012

Using Meda-data to Search for Clinical Records: RMIT at TREC 2012 Medical Track.
Proceedings of The Twenty-First Text REtrieval Conference, 2012

A survey of procedural terrain generation techniques using evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Reference point based multi-objective optimization through decomposition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Guest Editorial: special issue on evolutionary optimisation and learning.
Soft Comput., 2011

A framework for generating tunable test functions for multimodal optimization.
Soft Comput., 2011

Improving the performance and scalability of Differential Evolution on problems exhibiting parameter interactions.
Soft Comput., 2011

Search for Clinical Records: RMIT at Medical TREC.
Proceedings of The Twentieth Text REtrieval Conference, 2011

Atavistic Strategy for Genetic Algorithm.
Proceedings of the Advances in Swarm Intelligence - Second International Conference, 2011

Evolving patch-based terrains for use in video games.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Smart use of computational resources based on contribution for cooperative co-evolutionary algorithms.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
Erratum to "Niching Without Niching Parameters: Particle Swarm Optimization Using a Ring Topology" [Feb 10 150-169].
IEEE Trans. Evol. Comput., 2010

Niching Without Niching Parameters: Particle Swarm Optimization Using a Ring Topology.
IEEE Trans. Evol. Comput., 2010

Time series forecasting by evolving artificial neural networks using genetic algorithms and differential evolution.
Proceedings of the International Joint Conference on Neural Networks, 2010

Designing airfoils using a reference point based evolutionary many-objective particle swarm optimization algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Cooperative Co-evolution for large scale optimization through more frequent random grouping.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Cooperative Co-evolution with delta grouping for large scale non-separable function optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Species based evolutionary algorithms for multimodal optimization: A brief review.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Comparing lbest PSO niching algorithms using different position update rules.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

A Comparative Study of CMA-ES on Large Scale Global Optimisation.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

2009
Editorial Special Issue: Swarm Intelligence.
IEEE Trans. Evol. Comput., 2009

Special issue on simulated evolution and learning.
Evol. Intell., 2009

A Modified PSO Algorithm for Constrained Multi-objective Optimization.
Proceedings of the Third International Conference on Network and System Security, 2009

Using a distance metric to guide PSO algorithms for many-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Evolutionary algorithms and multi-objectivization for the travelling salesman problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Tackling high dimensional nonseparable optimization problems by cooperatively coevolving particle swarms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

A Distance Metric for Evolutionary Many-Objective Optimization Algorithms Using User-Preferences.
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

2008
Swarm Intelligence in Optimization.
Proceedings of the Swarm Intelligence: Introduction and Applications, 2008

Particle Swarms for Dynamic Optimization Problems.
Proceedings of the Swarm Intelligence: Introduction and Applications, 2008

Preface.
J. Comput. Sci. Technol., 2008

Symbol detection in spatial multiplexing system using particle swarm optimization meta-heuristics.
Int. J. Commun. Syst., 2008

Rotated Problems and Rotationally Invariant Crossover in Evolutionary Multi-Objective Optimization.
Int. J. Comput. Intell. Appl., 2008

Theoretical foundations of evolutionary computation.
Genet. Program. Evolvable Mach., 2008

Choosing Leaders for Multi-objective PSO Algorithms Using Differential Evolution.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

A Generator for Multimodal Test Functions with Multiple Global Optima.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Improving the Performance and Scalability of Differential Evolution.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Reference Point-Based Particle Swarm Optimization Using a Steady-State Approach.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Integrating user preferences with particle swarms for multi-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

A multi-objective constraint-handling method with PSO algorithm for constrained engineering optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Special Issue on Evolutionary Learning and Optimisation.
Connect. Sci., 2007

Particle swarm optimization: an introduction and its recent developments.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Performance measures and particle swarm methods for dynamic multi-objective optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

A multimodal particle swarm optimizer based on fitness Euclidean-distance ratio.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Informative performance metrics for dynamic optimisation problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

On performance metrics and particle swarm methods for dynamic multiobjective optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Using regression to improve local convergence.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Locating and tracking multiple dynamic optima by a particle swarm model using speciation.
IEEE Trans. Evol. Comput., 2006

Rotationally Invariant Crossover Operators in Evolutionary Multi-objective Optimization.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Particle swarm with speciation and adaptation in a dynamic environment.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Incorporating directional information within a differential evolution algorithm for multi-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Rotated test problems for assessing the performance of multi-objective optimization algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Adaptively choosing niching parameters in a PSO.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Enhancing the robustness of a speciation-based PSO.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Efficient differential evolution using speciation for multimodal function optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Multi-objective techniques in genetic programming for evolving classifiers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Better Spread and Convergence: Particle Swarm Multiobjective Optimization Using the Maximin Fitness Function.
Proceedings of the Genetic and Evolutionary Computation, 2004

Adaptively Choosing Neighbourhood Bests Using Species in a Particle Swarm Optimizer for Multimodal Function Optimization.
Proceedings of the Genetic and Evolutionary Computation, 2004

A Cooperative Coevolutionary Multiobjective Algorithm Using Non-dominated Sorting.
Proceedings of the Genetic and Evolutionary Computation, 2004

Improving Generalisation Performance Through Multiobjective Parsimony Enforcement.
Proceedings of the Genetic and Evolutionary Computation, 2004

A particle swarm model for tracking multiple peaks in a dynamic environment using speciation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Multiobjective parsimony enforcement for superior generalisation performance.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Solving Rotated Multi-objective Optimization Problems Using Differential Evolution.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2003
Critical Density in a Fire Spread Model Under Environmental Influence.
Int. J. Comput. Intell. Appl., 2003

A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization.
Proceedings of the Genetic and Evolutionary Computation, 2003

A Real-Coded Predator-Prey Genetic Algorithm for Multiobjective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2003

Pyramid search: finding solutions for deceptive problems quickly in genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

Critical dynamics in evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

Comparing particle swarms for tracking extrema in dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002
Connectionist learning: a comparison of neural networks and an optical thin-film multilayer model.
Connect. Sci., 2002

A Real-coded Cellular Genetic Algorithm Inspired by predator-prey Interactions.
Proceedings of the Recent Advances in Simulated Evolution and Learning [extended and revised papers selected from the 4th Asia-Pacific Conference on Simulated Evolution and Learning, 2002

Parameter Control within a Co-operative Co-evolutionary Genetic Algorithm.
Proceedings of the Parallel Problem Solving from Nature, 2002

The effects of varying population density in a fine-grained parallel genetic algorithm.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
Comparison of Neural Networks and an Optical Thin-Film Multilayer Model for Connectionist Learning.
Proceedings of the SCAI'01, 2001

Visualization of a Parallel Genetic Algorithm in Real Time.
Proceedings of the Active Media Technology, 6th International Computer Science Conference, 2001

1998
Investigation of a Cellular Genetic Algorithm that Mimics Landscape Ecology.
Proceedings of the Simulated Evolution and Learning, 1998


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