Titlebook: Design of Heuristic Algorithms for Hard Optimization; With Python Codes fo éric D. Taillard Textbook‘‘‘‘‘‘‘‘ 2023 The Editor(s) (if applica

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Population Managemente less advanced metaheuristics than memetic algorithms or scatter search. The path relinking technique is also part of this chapter. Finally, among the last metaheuristics invented, we find the particle swarm methods, which seem adapted to continuous optimization.

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https://doi.org/10.1057/9781137544735times. Various approaches have been proposed to enlarge the neighborhood, such as the filter and fan method or the ejection chains. For reducing the neighborhood size, typical strategies are the granular search and the candidate list.

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Design of Heuristic Algorithms for Hard OptimizationWith Python Codes fo

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Textbook‘‘‘‘‘‘‘‘ 2023pture. Moreover, it provides concrete applications of the travelling salesman problem, whichillustrate in just a few lines of code how to design a new heuristic and remove all ambiguities left by a general framework. Two chapters reviewing the basics of combinatorial optimization and complexity theo