A New Lagrangian Problem Crossover—A Systematic Review and Meta-Analysis of Crossover Standards

The performance of most evolutionary metaheuristic algorithms relies on various operators. The crossover operator is a standard based on population-based algorithms, which is divided into two types: application-dependent and application-independent crossover operators. In the process of optimization...

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Veröffentlicht in:	Systems (Basel) Jg. 11; H. 3; S. 144
Hauptverfasser:	Aladdin, Aso M., Rashid, Tarik A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.03.2023
Schlagworte:	Algorithms Analysis Artificial intelligence Chromosomes crossover operators crossover standards Crossovers Evolutionary algorithms evolutionary metaheuristic algorithm Genetic algorithms Heuristic methods Lagrangian Dual Function Lagrangian Problem Crossover Meta-analysis Mutation Operators (mathematics) Optimization Performance evaluation Systematic review Traveling salesman problem Germany
ISSN:	2079-8954, 2079-8954
Online-Zugang:	Volltext
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