Open Access
SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization
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The article was published on 2002-01-01 and is currently open access. It has received 1972 citations till now. The article focuses on the topics: Pareto principle & Multi-objective optimization.read more
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Journal ArticleDOI
Pareto-Optimal Design of Damping Controllers Using Modified Artificial Immune Algorithm
TL;DR: Simulation studies show that the controllers designed by MOIA perform better than those by MAINet in damping the power-system low-frequency oscillations.
Proceedings ArticleDOI
"Smart" design space sampling to predict Pareto-optimal solutions
TL;DR: This paper presents a novel machine learning-based approach that efficiently determines the Pareto-optimal designs while only sampling and synthesizing a fraction of the design space.
Journal ArticleDOI
On reducing computational overhead in multi-objective genetic Takagi-Sugeno fuzzy systems
TL;DR: A simple but effective technique for speeding up the identification of the rule consequent parameters, one of the most time-consuming phases in Takagi-Sugeno FRBS generation, and the application of this technique produces as a side-effect a decoupling of the rules.
Journal ArticleDOI
Cross Entropy multiobjective optimization for water distribution systems design
TL;DR: In this paper, a methodology extending the Cross Entropy combinatorial optimization method originating from an adaptive algorithm for rare events simulation estimation, to multiobjective optimization of water distribution systems design is developed and demonstrated.
Journal ArticleDOI
Hyper-Heuristic Coevolution of Machine Assignment and Job Sequencing Rules for Multi-Objective Dynamic Flexible Job Shop Scheduling
TL;DR: The results reveal that the evolved SPs can discover more useful heuristics and behave more competitive than the man-made SPs in more complex scheduling scenarios and have a strong generalization performance to be reused in new unobserved scheduling scenarios.