Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization
Proceedings of the 5th International Conference on Genetic Algorithms
A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Mechanical Component Design for Multiple Objectives Using Elitist Non-dominated Sorting GA
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Multiobjective evolutionary algorithms: classifications, analyses, and new innovations
Multiobjective evolutionary algorithms: classifications, analyses, and new innovations
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
Multi-objective genetic algorithms: Problem difficulties and construction of test problems
Evolutionary Computation
In Search of Proper Pareto-optimal Solutions Using Multi-objective Evolutionary Algorithms
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
Introduction to Evolutionary Multiobjective Optimization
Multiobjective Optimization
MFGA: a GA for complex real-world optimisation problems
International Journal of Innovative Computing and Applications
SEAL'10 Proceedings of the 8th international conference on Simulated evolution and learning
Structural and Multidisciplinary Optimization
Variable preference modeling using multi-objective evolutionary algorithms
EMO'11 Proceedings of the 6th international conference on Evolutionary multi-criterion optimization
Preference ranking schemes in multi-objective evolutionary algorithms
EMO'11 Proceedings of the 6th international conference on Evolutionary multi-criterion optimization
Multi-level ranking for constrained multi-objective evolutionary optimisation
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
The naive MIDEA: a baseline multi-objective EA
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
An evolutionary algorithm for constrained bi-objective optimization using radial slots
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
LION'05 Proceedings of the 5th international conference on Learning and Intelligent Optimization
Proceedings of the 14th annual conference on Genetic and evolutionary computation
BSTBGA: A hybrid genetic algorithm for constrained multi-objective optimization problems
Computers and Operations Research
Structural and Multidisciplinary Optimization
A Multiobjective Particle Swarm Optimizer for Constrained Optimization
International Journal of Swarm Intelligence Research
Aircraft morphing wing design by using partial topology optimization
Structural and Multidisciplinary Optimization
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Over the past few years, researchers have developed a number of multi-objective evolutionary algorithms (MOEAs). Although most studies concentrated on solving unconstrained optimization problems, there exists a few studies where MOEAs have been extended to solve constrained optimization problems. As the constraint handling MOEAs gets popular, there is a need for developing test problems which can evaluate the algorithms well. In this paper, we review a number of test problems used in the literature and then suggest a set of tunable test problems for constraint handling. Finally, NSGA-II with an innovative constraint handling strategy is compared with a couple of existing algorithms in solving some of the test problems.