Yi Mei

According to our database1, Yi Mei authored at least 118 papers between 2009 and 2021.

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Bibliography

2021
Divide-and-conquer large scale capacitated arc routing problems with route cutting off decomposition.
Inf. Sci., 2021

2020
A Survey of Evolutionary Computation for Web Service Composition: A Technical Perspective.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

A fast parallel genetic programming framework with adaptively weighted primitives for symbolic regression.
Soft Comput., 2020

Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems.
Evol. Comput., 2020

A Predictive-Reactive Approach with Genetic Programming and Cooperative Coevolution for the Uncertain Capacitated Arc Routing Problem.
Evol. Comput., 2020

Towards Interpretable Routing Policy: A Two Stage Multi-Objective Genetic Programming Approach with Feature Selection for Uncertain Capacitated Arc Routing Problem.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Adaptive Search Space through Evolutionary Hyper-Heuristics for the Large-Scale Vehicle Routing Problem.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A GPHH with Surrogate-assisted Knowledge Transfer for Uncertain Capacitated Arc Routing Problem.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Diversity-driven Knowledge Transfer for GPHH to Solve Uncertain Capacitated Arc Routing Problem.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A preliminary approach to evolutionary multitasking for dynamic flexible job shop scheduling via genetic programming.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

A memetic level-based learning swarm optimizer for large-scale water distribution network optimization.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Genetic Programming with Adaptive Search Based on the Frequency of Features for Dynamic Flexible Job Shop Scheduling.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2020

A Group Genetic Algorithm for Resource Allocation in Container-Based Clouds.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2020

Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling.
Proceedings of the Genetic Programming - 23rd European Conference, 2020

A Multi-Objective Genetic Programming Hyper-Heuristic Approach to Uncertain Capacitated Arc Routing Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Fitness-based Selection Method for Pareto Local Search for Many-Objective Job Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Genetic Programming Hyper-heuristic with Cluster Awareness for Stochastic Team Orienteering Problem with Time Windows.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Memetic Algorithm for the Task Allocation Problem on Multi-robot Multi-point Dynamic Aggregation Missions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Cluster-based Hyper-Heuristic for Large-Scale Vehicle Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Genetic Programming Hyper-Heuristics with Probabilistic Prototype Tree Knowledge Transfer for Uncertain Capacitated Arc Routing Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A NSGA-II-based Approach for Multi-objective Micro-service Allocation in Container-based Clouds.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

A Parametric Framework for Genetic Programming with Transfer Learning for Uncertain Capacitated Arc Routing Problem.
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020

Ontology-Guided Data Augmentation for Medical Document Classification.
Proceedings of the Artificial Intelligence in Medicine, 2020

2019
A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules.
Evol. Comput., 2019

Divide-and-Conquer Large Scale Capacitated Arc Routing Problems with Route Cutting Off Decomposition.
CoRR, 2019

Evolving Ensembles of Routing Policies using Genetic Programming for Uncertain Capacitated Arc Routing Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Two-Stage Genetic Programming Hyper-Heuristic for Uncertain Capacitated Arc Routing Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Multitasking Genetic Programming for Stochastic Team Orienteering Problem with Time Windows.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Novel Genetic Programming Algorithm with Knowledge Transfer for Uncertain Capacitated Arc Routing Problem.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Stratifying Risk of Coronary Artery Disease Using Discriminative Knowledge-Guided Medical Concept Pairings from Clinical Notes.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

A two-stage genetic programming hyper-heuristic approach with feature selection for dynamic flexible job shop scheduling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Novel ensemble genetic programming hyper-heuristics for uncertain capacitated arc routing problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Genetic programming hyper-heuristic with knowledge transfer for uncertain capacitated arc routing problem.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

A New Representation in Genetic Programming for Evolving Dispatching Rules for Dynamic Flexible Job Shop Scheduling.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2019

Evolving Dispatching Rules for Multi-objective Dynamic Flexible Job Shop Scheduling via Genetic Programming Hyper-heuristics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Can Stochastic Dispatching Rules Evolved by Genetic Programming Hyper-heuristics Help in Dynamic Flexible Job Shop Scheduling?
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Hybrid Genetic Programming Hyper-Heuristic Approach for Online Two-level Resource Allocation in Container-based Clouds.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Active Sampling for Dynamic Job Shop Scheduling using Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Transfer Learning in Genetic Programming Hyper-heuristic for Solving Uncertain Capacitated Arc Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

An Ontology-based Two-Stage Approach to Medical Text Classification with Feature Selection by Particle Swarm Optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Genetic Programming with Pareto Local Search for Many-Objective Job Shop Scheduling.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

Novel Genetic Algorithm with Dual Chromosome Representation for Resource Allocation in Container-Based Clouds.
Proceedings of the 12th IEEE International Conference on Cloud Computing, 2019

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

Evolutionary computation for automatic Web service composition: an indirect representation approach.
J. Heuristics, 2018

Guest editorial: special issue on automated design and adaptation of heuristics for scheduling and combinatorial optimisation.
Genet. Program. Evolvable Mach., 2018

An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling.
Appl. Soft Comput., 2018


Sampling Heuristics for Multi-objective Dynamic Job Shop Scheduling Using Island Based Parallel Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

A Hybrid Memetic Approach for Fully Automated Multi-Objective Web Service Composition.
Proceedings of the 2018 IEEE International Conference on Web Services, 2018

Feature construction in genetic programming hyper-heuristic for dynamic flexible job shop scheduling.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Genetic programming hyper-heuristic for multi-vehicle uncertain capacitated arc routing problem.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2018

Genetic Programming Hyper-Heuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling.
Proceedings of the Genetic Programming - 21st European Conference, 2018

Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling.
Proceedings of the Genetic Programming - 21st European Conference, 2018

Genetic Programming Hyper-Heuristic for Stochastic Team Orienteering Problem with Time Windows.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Surrogate-Assisted Genetic Programming for Dynamic Flexible Job Shop Scheduling.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Genetic Programming with Multi-tree Representation for Dynamic Flexible Job Shop Scheduling.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

A Genetic Programming Hyper-heuristic Approach for Online Resource Allocation in Container-Based Clouds.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Adaptive Reference Point Generation for Many-Objective Optimization Using NSGA-III.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

An Improved Genetic Programming Hyper-Heuristic for the Uncertain Capacitated Arc Routing Problem.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Uncovering Discriminative Knowledge-Guided Medical Concepts for Classifying Coronary Artery Disease Notes.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017
An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming.
IEEE Trans. Emerg. Top. Comput. Intell., 2017

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

CAPRA: A contour-based accessible path routing algorithm.
Inf. Sci., 2017

Memetic algorithm with route decomposing for periodic capacitated arc routing problem.
Appl. Soft Comput., 2017

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

Effective Policy Gradient Search for Reinforcement Learning Through NEAT Based Feature Extraction.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Fragment-based genetic programming for fully automated multi-objective web service composition.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Automated state feature learning for actor-critic reinforcement learning through NEAT.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Automated heuristic design using genetic programming hyper-heuristic for uncertain capacitated arc routing problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Toward evolving dispatching rules for dynamic job shop scheduling under uncertainty.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Evolving Time-Invariant Dispatching Rules in Job Shop Scheduling with Genetic Programming.
Proceedings of the Genetic Programming - 20th European Conference, 2017

Geometric Semantic Crossover with an Angle-Aware Mating Scheme in Genetic Programming for Symbolic Regression.
Proceedings of the Genetic Programming - 20th European Conference, 2017

A NSGA-II-based approach for service resource allocation in Cloud.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Evolving dispatching rules for dynamic Job shop scheduling with uncertain processing times.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Evolving heuristics for Dynamic Vehicle Routing with Time Windows using genetic programming.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Evolving Transferable Artificial Neural Networks for Gameplay Tasks via NEAT with Phased Searching.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017

Investigating the Generality of Genetic Programming Based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown.
Proceedings of the Artificial Life and Computational Intelligence, 2017

A PSO-Based Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling.
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

Dynamic selection of evolutionary operators based on online learning and fitness landscape analysis.
Soft Comput., 2016

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

Proceedings in Adaptation, Learning and Optimization.
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016

Niching Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling: An Investigation into Distance Metrics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Feature Selection in Evolving Job Shop Dispatching Rules with Genetic Programming.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Fast Bi-Objective Feature Selection Using Entropy Measures and Bayesian Inference.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Particle Swarm Optimization for Multi-Objective Web Service Location Allocation.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2016

Particle Swarm Optimisation with Sequence-Like Indirect Representation for Web Service Composition.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2016

Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches.
Proceedings of the Genetic Programming - 19th European Conference, 2016

Evolutionary web service composition: A graph-based memetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A memetic algorithm-based indirect approach to web service composition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Improving job shop dispatching rules via terminal weighting and adaptive mutation in genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Evolutionary scheduling and combinatorial optimisation: Applications, challenges, and future directions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A comprehensive analysis on reusability of GP-evolved job shop dispatching rules.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Many-objective genetic programming for job-shop scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Evolving Self-Adaptive Tabu Search Algorithm for Storage Location Assignment Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

A Restricted Neighbourhood Tabu Search for Storage Location Assignment Problem.
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

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

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

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

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

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

2011
A Memetic Algorithm for Periodic Capacitated Arc Routing Problem.
IEEE Trans. Syst. Man Cybern. Part B, 2011

Decomposition-Based Memetic Algorithm for Multiobjective Capacitated Arc Routing Problem.
IEEE Trans. Evol. Comput., 2011

Portfolio Optimization through Data Conditioning and Aggregation.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

2010
Capacitated arc routing problem in uncertain environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Memetic algorithm with heuristic candidate list strategy for Capacitated Arc Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
A Global Repair Operator for Capacitated Arc Routing Problem.
IEEE Trans. Syst. Man Cybern. Part B, 2009

Memetic Algorithm With Extended Neighborhood Search for Capacitated Arc Routing Problems.
IEEE Trans. Evol. Comput., 2009

Improved memetic algorithm for Capacitated Arc Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009


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