Introduction to optimization
Genetic algorithms with sharing for multimodal function optimization
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Genetic algorithms in noisy environments
Machine Language
An investigation of niche and species formation in genetic function optimization
Proceedings of the third international conference on Genetic algorithms
Proceedings of the third international conference on Genetic algorithms
Some guidelines for genetic algorithms with penalty functions
Proceedings of the third international conference on Genetic algorithms
Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Niching methods for genetic algorithms
Niching methods for genetic algorithms
Multiobjective evolutionary algorithm test suites
Proceedings of the 1999 ACM symposium on Applied computing
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Multidimensional Optimization with a Fuzzy Genetic Algorithm
Journal of Heuristics
Multiple Objective Optimization with Vector Evaluated Genetic Algorithms
Proceedings of the 1st International Conference on Genetic Algorithms
Compaction of Symbolic Layout Using Genetic Algorithms
Proceedings of the 1st International Conference on Genetic Algorithms
Dynamic Control of Genetic Algorithms in a Noisy Environment
Proceedings of the 5th International Conference on Genetic Algorithms
Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization
Proceedings of the 5th International Conference on Genetic Algorithms
Signal-to-noise, Crosstalk, and Long Range Problem Difficulty in Genetic Algorithms
Proceedings of the 6th International Conference on Genetic Algorithms
A Spatial Predator-Prey Approach to Multi-objective Optimization: A Preliminary Study
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Multi-Objective Optimization by Means of the Thermodynamical Genetic Algorithm
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
An Enhanced Annealing Genetic Algorithm For Multi-objective Optimization Problems
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Genetic Operators in a Dual Genetic Algorithm
TAI '95 Proceedings of the Seventh International Conference on Tools with Artificial Intelligence
Time Dependent Optimization with a Folding Genetic Algorithm
ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
An empirical study of evolutionary techniques for multiobjective optimization in engineering design
An empirical study of evolutionary techniques for multiobjective optimization in engineering design
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
Evolutionary Computation
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
Evolutionary Computation
An overview of evolutionary algorithms in multiobjective optimization
Evolutionary Computation
Multi-objective genetic algorithms: Problem difficulties and construction of test problems
Evolutionary Computation
Multiobjective evolutionary algorithms: a comparative case studyand the strength Pareto approach
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
A genetic algorithm approach to Chinese handwriting normalization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A multiobjective evolutionary algorithm toolbox for computer-aidedmultiobjective optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A Tabu-Based Exploratory Evolutionary Algorithmfor Multiobjective Optimization
Artificial Intelligence Review
Evolutionary multi criteria design optimization of robot grippers
Applied Soft Computing
Evolutionary multi-criteria trajectory modeling of industrial robots in the presence of obstacles
Engineering Applications of Artificial Intelligence
Research on quality performance conceptual design based on SPEA2+
Computers & Mathematics with Applications
Advanced Engineering Informatics
Application notes: MEBRA: multiobjective evolutionary-based risk assessment
IEEE Computational Intelligence Magazine
Evolutionary trajectory planning for an industrial robot
International Journal of Automation and Computing
Efficient Optimization of Reliable Two-Node Connected Networks: A Biobjective Approach
INFORMS Journal on Computing
Multiobjective network topology design
Applied Soft Computing
Decision support for diffuse pollution management
Environmental Modelling & Software
Finding pareto-optimal set by merging attractors for a bi-objective traveling salesmen problem
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
Alleviate the hypervolume degeneration problem of NSGA-II
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
Journal of Intelligent Manufacturing
A multi-objective hyper-heuristic based on choice function
Expert Systems with Applications: An International Journal
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Evolutionary techniques for multi-objective(MO) optimization are currently gainingsignificant attention from researchers invarious fields due to their effectiveness androbustness in searching for a set of trade-offsolutions. Unlike conventional methods thataggregate multiple attributes to form acomposite scalar objective function,evolutionary algorithms with modifiedreproduction schemes for MO optimization arecapable of treating each objective componentseparately and lead the search in discoveringthe global Pareto-optimal front. The rapidadvances of multi-objective evolutionaryalgorithms, however, poses the difficulty ofkeeping track of the developments in this fieldas well as selecting an existing approach thatbest suits the optimization problem in-hand.This paper thus provides a survey on variousevolutionary methods for MO optimization. Manywell-known multi-objective evolutionaryalgorithms have been experimented with andcompared extensively on four benchmark problemswith different MO optimization difficulties.Besides considering the usual performancemeasures in MO optimization, e.g., the spreadacross the Pareto-optimal front and the abilityto attain the global trade-offs, the paper alsopresents a few metrics to examinethe strength and weakness of each evolutionaryapproach both quantitatively and qualitatively.Simulation results for the comparisons areanalyzed, summarized and commented.