HIGHLIGHTS
- who: Dynamic Neighborhood Adjustment Strategy and collaborators from the Strategic Support Force Information Engineering University, Zhengzhou, China have published the research: Dynamic Neighborhood Adjustment Strategy for Multi-Objective Evolutionary Algorithm Based on Decomposition, in the Journal: (JOURNAL)
- what: This paper proposes a strategy for adjusting the neighborhood size T dynamically to balance the convergence, diversity and the running time of MOEA/D. A new MOEA/D algorithm, multi-objective optimization evolutionary algorithm based on decomposition with dynamic neighborhood size adjustment (MOEA/D-DNSA), is proposed in this paper, using dynamic neighborhood size T for each . . .
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