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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Analysis and Applications of Evolutionary Multiobjective Optimization Algorithms
TL;DR: This thesis deals with the analysis and application of evolutionary algorithms for optimization problems with multiple objectives and proposes new selection operators that guarantee the convergence of random¬ ized search strategies to a well-defined discrete solution set with simultaneous consideration of diversity.
Journal ArticleDOI
Solving Many-Objective Optimization Problems via Multistage Evolutionary Search
TL;DR: A two-stage evolutionary algorithm is developed, where the convergence and diversity are highlighted during different search stages to avoid the interferences between them, and a new environmental selection strategy is designed for the second stage to balance the converge and diversity close to the Pareto front.
Proceedings ArticleDOI
A novel algorithm for non-dominated hypervolume-based multiobjective optimization
TL;DR: A hypervolume-based evolutionary algorithm for multiobjective optimization with a unique fitness assignment strategy is proposed and a slicing based method to calculate the exclusive hypervolume of each individual for environmental selection is designed.
Proceedings ArticleDOI
Evolving ensembles in multi-objective genetic programming for classification with unbalanced data
TL;DR: A Multi-objective Genetic Programming approach using negative correlation learning to evolve accurate and diverse ensembles of non-dominated solutions where members vote on class membership, which achieves high accuracy on both classes using six unbalanced binary data sets.
Journal ArticleDOI
Simultaneous topology and sizing optimization of a water distribution network using a hybrid multiobjective evolutionary algorithm
Sujin Bureerat,Krit Sriworamas +1 more
TL;DR: It is shown that the proposed network repairing technique is an efficient and effective tool for topological design of WDNs and is among the best MOEA performers.