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A many-objective evolutionary algorithm based on rotated grid
(Elsevier, 2018-03-03)
Evolutionary optimization algorithms, a meta-heuristic approach, often encounter considerable challenges in many-objective optimization problems (MaOPs). The Pareto-based dominance loses its effectiveness in MaOPs, which ...
A Pareto-based many-objective evolutionary algorithm using space partitioning selection and angle-based truncation
(Elsevier, 2018-10-30)
Evolutionary algorithms (EAs) have shown to be efficient in dealing with many-objective optimization problems (MaOPs) due to their ability to obtain a set of compromising solutions which not only converge toward the Pareto ...
A knee-point-based evolutionary algorithm using weighted subpopulation for many-objective optimization
(Elsevier, 2019-02-11)
Among many-objective optimization problems (MaOPs), the proportion of nondominated solutions is too large to distinguish among different solutions, which is a great obstacle in the process of solving MaOPs. Thus, this paper ...
An adaptation reference-point-based multiobjective evolutionary algorithm
(Elsevier, 2019-03-11)
It is well known that maintaining a good balance between convergence and diversity is crucial to the performance of multiobjective optimization algorithms (MOEAs). However, the Pareto front (PF) of multiobjective optimization ...