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View all- Chen J(2024)Modeling and simulation analysis of optimal layout scheme of aviation logistics park based on genetic algorithmAdvanced Control for Applications10.1002/adc2.2006:4Online publication date: 19-Dec-2024
Many-objective (four or more objectives) optimization problems pose a great challenge to the classical Pareto-dominance based multi-objective evolutionary algorithms (MOEAs), such as NSGA-II and SPEA2. This is mainly due to the fact that the selection ...
One of the major challenges of solving Big Data optimization problems via traditional multi-objective evolutionary algorithms (MOEAs) is their high computational costs. This issue has been efficiently tackled by non-dominated sorting ...
Decomposition-based multi-objective evolutionary algorithms have been found to be very promising for many-objective optimization. The recently presented non-dominated sorting genetic algorithm III (NSGA-III) employs the decomposition idea to efficiently ...
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