The effects of a new selection operator on the performance of a genetic algorithm

DOI10.1016/j.amc.2011.02.070zbMath1220.90168OpenAlexW2074040244MaRDI QIDQ544067

Mustafa Kaya

Publication date: 14 June 2011

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2011.02.070

zbMATH Keywords

genetic operatorsselection operators

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59)

Cites Work

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• Analysis of crossovers and selections in a coarse-grained parallel genetic algorithm
• Local search for the probabilistic traveling salesman problem: correction to the 2-p-opt and 1-shift algorithms
• Self-organizing genetic algorithm based tuning of PID controllers
• The physicist's approach to the travelling salesman problem
• Estimating the length of the optimal TSP tour: An empirical study using regression and neural networks
• Multiagent visual area coverage using a new genetic algorithm selection scheme
• Towards structural optimization via the genetic algorithm
• Performance evaluation of a flexible machining/assembly system and routing comparisons

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