On two generalization of Pareto minimality
Journal of Optimization Theory and Applications
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
Stochastic method for the solution of unconstrained vector optimization problems
Journal of Optimization Theory and Applications
A Variant of Evolution Strategies for Vector Optimization
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
An overview of evolutionary algorithms in multiobjective optimization
Evolutionary Computation
Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Covering pareto sets by multilevel evolutionary subdivision techniques
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Generating equidistant representations in biobjective programming
Computational Optimization and Applications
First order rejection tests for multiple-objective optimization
Journal of Global Optimization
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This paper presents a multiobjective search algorithm with subdivision technique (MOSAST) for the global solution of multiobjective constrained optimization problems with possibly noncontinuous objective or constraint functions. This method is based on a random search method and a new version of the Graef-Younes algorithm and it uses a subdivision technique. Numerical results are given for bicriterial test problems.