Raymond Chiong

According to our database1, Raymond Chiong authored at least 90 papers between 2006 and 2019.

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Bibliography

2019
A two-layer Wang-Mendel fuzzy approach for predicting the residuary resistance of sailing yachts.
Journal of Intelligent and Fuzzy Systems, 2019

Implementation issues in optimization algorithms: do they matter?
J. Exp. Theor. Artif. Intell., 2019

Contract Farming in the Mekong Delta's Rice Supply Chain: Insights from an Agent-Based Modeling Study.
J. Artificial Societies and Social Simulation, 2019

Acceptance and use predictors of fitness wearable technology and intention to recommend.
Industrial Management and Data Systems, 2019

Malicious web domain identification using online credibility and performance data by considering the class imbalance issue.
Industrial Management and Data Systems, 2019

Distributionally robust single machine scheduling with the total tardiness criterion.
Computers & OR, 2019

Agent-based Modeling of Migration Dynamics in the Mekong Delta, Vietnam: Automated Calibration Using a Genetic Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Regional Multi-Objective Tabu Search Algorithm for a Green Heterogeneous Dial-A-Ride Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
A Networked N-Player Trust Game and Its Evolutionary Dynamics.
IEEE Trans. Evolutionary Computation, 2018

An adaptive weighted fusion model with two subspaces for facial expression recognition.
Signal, Image and Video Processing, 2018

Combining the Kernel Collaboration Representation and Deep Subspace Learning for Facial Expression Recognition.
Journal of Circuits, Systems, and Computers, 2018

An extended dictionary representation approach with deep subspace learning for facial expression recognition.
Neurocomputing, 2018

Remote heart rate measurement using low-cost RGB face video: a technical literature review.
Frontiers Comput. Sci., 2018

A PSO-Based Ensemble Model for Peer-to-Peer Credit Scoring.
Proceedings of the 14th International Conference on Natural Computation, 2018

A sentiment analysis-based machine learning approach for financial market prediction via news disclosures.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Using Deep Learning and 360 Video to Detect Eating Behavior for User Assistance Systems.
Proceedings of the 26th European Conference on Information Systems: Beyond Digitization, 2018

2017
Profit guided or statistical error guided? a study of stock index forecasting using support vector regression.
J. Systems Science & Complexity, 2017

Interdisciplinary Research of Network Science and Computational Intelligence.
Int. J. Comput. Intell. Syst., 2017

An unsupervised multilingual approach for online social media topic identification.
Expert Syst. Appl., 2017

Distributionally robust single machine scheduling with risk aversion.
European Journal of Operational Research, 2017

Multilingual sentiment analysis: from formal to informal and scarce resource languages.
Artif. Intell. Rev., 2017

Multi-objective optimization of single machine scheduling with energy consumption constraints.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A hybrid particle swarm optimisation approach for energy-efficient single machine scheduling with cumulative deterioration and multiple maintenances.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Empathic Avatars in Stroke Rehabilitation: A Co-designed mHealth Artifact for Stroke Survivors.
Proceedings of the Designing the Digital Transformation - 12th International Conference, 2017

An evolutionary trust game for the sharing economy.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Parallel Machine Scheduling Under Time-of-Use Electricity Prices: New Models and Optimization Approaches.
IEEE Trans. Automation Science and Engineering, 2016

A multilingual semi-supervised approach in deriving Singlish sentic patterns for polarity detection.
Knowl.-Based Syst., 2016

Global versus local search: the impact of population sizes on evolutionary algorithm performance.
J. Global Optimization, 2016

Investigating the Critical Success Factors for Implementing Electronic Document Management Systems in Governments: Evidence From Jordan.
IS Management, 2016

Sustainable scheduling of manufacturing and transportation systems.
European Journal of Operational Research, 2016

Ranking of high-value social audiences on Twitter.
Decision Support Systems, 2016

Selecting Physiological Features for Predicting Bidding Behavior in Electronic Auctions.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

Identifying malicious web domains using machine learning techniques with online credibility and performance data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Introduction to the special issue of the Journal of Systems and Information Technology on Business Intelligence.
J. Systems and IT, 2015

The role of technology in the management and exploitation of internal business intelligence.
J. Systems and IT, 2015

Suboptimal business intelligence implementations: understanding and addressing the problems.
J. Systems and IT, 2015

Forecasting interval time series using a fully complex-valued RBF neural network with DPSO and PSO algorithms.
Inf. Sci., 2015

An alternative way of presenting statistical test results when evaluating the performance of stochastic approaches.
Neurocomputing, 2015

Customer empowerment: Does it influence electronic government success? A citizen-centric perspective.
Electronic Commerce Research and Applications, 2015

Hybrid filter-wrapper feature selection for short-term load forecasting.
Eng. Appl. of AI, 2015

Promotion of cooperation in social dilemma games via generalised indirect reciprocity.
Connect. Sci., 2015

A balance-evolution artificial bee colony algorithm for protein structure optimization based on a three-dimensional AB off-lattice model.
Computational Biology and Chemistry, 2015

An improved iterated greedy algorithm with a Tabu-based reconstruction strategy for the no-wait flowshop scheduling problem.
Appl. Soft Comput., 2015

Hybrid PACO with Enhanced Pheromone Initialization for Solving the Vehicle Routing Problem with Time Windows.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

An Investigation of Hybrid Tabu Search for the Traveling Salesman Problem.
Proceedings of the Bio-Inspired Computing - Theories and Applications, 2015

Hybrid Ejection Chain Methods for the Traveling Salesman Problem.
Proceedings of the Bio-Inspired Computing - Theories and Applications, 2015

Use of a High-Value Social Audience Index for Target Audience Identification on Twitter.
Proceedings of the Artificial Life and Computational Intelligence, 2015

Local search for the Traveling Salesman Problem: A comparative study.
Proceedings of the 14th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2015

2014
Benchmarking Optimization Algorithms: An Open Source Framework for the Traveling Salesman Problem.
IEEE Comp. Int. Mag., 2014

A two-layer optimization framework for UAV path planning with interval uncertainties.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, 2014

Comparing a hybrid branch and bound algorithm with evolutionary computation methods, local search and their hybrids on the TSP.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, 2014

Search-evasion path planning for submarines using the Artificial Bee Colony algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Dynamic Function Optimization: The Moving Peaks Benchmark.
Proceedings of the Metaheuristics for Dynamic Optimization, 2013

A Multi-agent Based Migration Model for Evolving Cooperation in the Spatial N-Player Snowdrift Game.
Proceedings of the PRIMA 2013: Principles and Practice of Multi-Agent Systems, 2013

SDGP: A developmental approach for traveling salesman problems.
Proceedings of the IEEE Symposium on Computational Intelligence In Production And Logistics Systems, 2013

GPU-accelerated eXtended Classifier System.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

2012
Effects of Iterated Interactions in Multiplayer Spatial Evolutionary Games.
IEEE Trans. Evolutionary Computation, 2012

Evolutionary Optimization: Pitfalls and Booby Traps.
J. Comput. Sci. Technol., 2012

Nature That Breeds Solutions.
IJSSS, 2012

Local search for real-world scheduling and planning.
Eng. Appl. of AI, 2012

The evolution of cooperation via stigmergic interactions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Evolutionary Optimization.
Proceedings of the Variants of Evolutionary Algorithms for Real-World Applications, 2012

2011
Business Intelligence.
Proceedings of the Encyclopedia of Knowledge Management, Second Edition, 2011

A Novel Extremal Optimization Approach for the Template Design Problem.
IJOCI, 2011

Novel evolutionary algorithms for supervised classification problems: an experimental study.
Evolutionary Intelligence, 2011

Special issue on modern search heuristics and applications.
Evolutionary Intelligence, 2011

Iterated n-player games on small-world networks.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

A Framework for Multi-model EDAs with Model Recombination.
Proceedings of the Applications of Evolutionary Computation, 2011

2010
Dynamic function optimisation with hybridised extremal dynamics.
Memetic Computing, 2010

Imitation vs evolution: Analysing the effects of strategy update mechanisms in N-player social dilemmas.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Evolving Cooperation in the Spatial N-player Snowdrift Game.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

Co-evolution of agent strategies in N-player dilemmas.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

Evolutionary data mining approaches for rule-based and tree-based classifiers.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

Nature that Breeds Solutions.
Proceedings of the Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, 2010

Evolutionary Approaches and Their Applications to Distributed Systems.
Proceedings of the Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications, 2010

2009
Why Is Optimization Difficult?.
Proceedings of the Nature-Inspired Algorithms for Optimisation, 2009

Teaching Machines to Find Names.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

An Intelligent Real-Time Communication Assistant for the Disabled.
Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009

Template Design Using Extremal Optimization with Multiple Search Operators.
Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009

A Hooke-Jeeves Based Memetic Algorithm for Solving Dynamic Optimisation Problems.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

Co-evolutionary Learning in the N-player Iterated Prisoner's Dilemma with a Structured Environment.
Proceedings of the Artificial Life: Borrowing from Biology, 4th Australian Conference, 2009

2008
Learning game strategy design through iterated Prisoner's Dilemma.
IJCAT, 2008

A selective mutation based evolutionary programming for solving Cutting Stock Problem without contiguity.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Modelling Database Security through Agent-Based Simulation.
Proceedings of the Second Asia International Conference on Modelling and Simulation, 2008

A Novel Approach for Intelligent Route Finding through Cumulative Proximity Evaluation.
Proceedings of the Second Asia International Conference on Modelling and Simulation, 2008

2007
Applying genetic algorithms to economy market using iterated prisoner's dilemma.
Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

Effects of Neighbourhood Structure on Evolution of Cooperation in N-Player Iterated Prisoner's Dilemma.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

Modelling Agent Strategies in Simulated Market Using Iterated Prisoner's Dilemma.
Proceedings of the Computational Science and Its Applications, 2007

2006
A Comparison between Genetic Algorithms and Evolutionary Programming based on Cutting Stock Problem.
Proceedings of the International MultiConference of Engineers and Computer Scientists 2006, 2006

Named Entity Recognition Using Hybrid Machine Learning Approach.
Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006


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