Auto-tuning strategy for evolutionary algorithms: Balancing between exploration and exploitation

DOI10.1007/S00500-008-0303-2zbMath1178.68540OpenAlexW2018495917MaRDI QIDQ1006910

Lin Lin, Mitsuo Gen

Publication date: 26 March 2009

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-008-0303-2

zbMATH Keywords

Auto-tuning strategyFuzzy logic controlKeywords: Evolutionary Algorithms

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

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Uses Software

• Genocop

Cites Work

• Evolution of appropriate crossover and mutation operators in a genetic process
• Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization
• Particle Swarm Optimization
• An algorithm for the resource constrained shortest path problem
• Priority-Based Genetic Algorithm for Shortest Path Routing Problem in OSPF
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