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On local optima in multiobjective combinatorial optimization problems
DOI:10.1007/s10479-007-0230-0.png)
Abstract
En 中文
In this article, local optimality in multiobjective combinatorial optimization is used as a baseline for the design and analysis of two iterative improvement algorithms. Both algorithms search in a neighborhood that is defined on a collection of sets of feasible solutions and their acceptance criterion is based on outperformance relations. Proofs of the soundness and completeness of these algorithms are given.
Keywords:
multiobjective combinatorial optimization
local search
local optima
Journal
IF:
4.5
Papers:
8.0K
Citations:
2.1W
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