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An adaptive resource management based evolutionary algorithm for large-scale multi-modal multi-objective optimization
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DOI：10.1016/j.asoc.2026.114853.png)
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Abstract
En 中文
• A dynamic resource allocation strategy is introduced to redistribute computation by subpopulation performance. • An adaptive adjustment approach is proposed to merge subpopulations or create new ones for exploration. • A new evolutionary algorithm is developed to balance convergence and decision-space diversity in high-dimensional problems.
Keywords:
resource allocation
adaptive adjustment
evolutionary algorithm
multi-modal optimization
high-dimensional problems
Journal
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6.6
Papers:
1.4W
Citations:
4.8W
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