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DGS-EDA: A double-guided sampling estimation of distribution algorithm for multi-robot task assignment as a permutation optimization problem

delete2025-08-19
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Blanca Muñoz López *
L
Luís Moreno
C
Concepción A. Monje
DOI：10.1016/j.swevo.2025.102112delete
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Abstract

Abstract

En 中文
• EDAs can achieve improved performance on the mTSP compared to other EAs. • Absolute and relative positioning frequencies in permutations guide the mTSP search. • Targeting least observed edges and positions enhances performance in the mTSP. • Targeting the most commonly encountered edges yields better outcomes in the TSP.
Keywords:
EDAs
mTSP
permutation search
edge frequency
position frequency
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Swarm and Evolutionary Computation cover
Swarm and Evolutionary Computation
IF:
8.5
Papers:
2.2K
Citations:
1.0W

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