A Hybrid Optimization Technique Using Exchange Market and Genetic Algorithms

This paper proposes a hybrid optimization technique combining genetic and exchange market algorithms. These algorithms are two evolutionary algorithms that facilitate finding optimal solutions for different optimization problems. The genetic algorithm's high execution time decreases its efficie...

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Veröffentlicht in:	IEEE access Jg. 8; S. 2417 - 2427
Hauptverfasser:	Jafari, Amirreza, Khalili, Tohid, Babaei, Ebrahim, Bidram, Ali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Approximation algorithms Evolutionary algorithm Evolutionary algorithms Evolutionary computation exchange market algorithm (EMA) Exchanging genetic algorithm (GA) Genetic algorithms Heuristic algorithms hybrid algorithm Linear programming objective function Optimization optimization algorithm Optimization techniques Search algorithms Securities markets Solution space Stock markets
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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