Farmland fertility: A new metaheuristic algorithm for solving continuous optimization problems

•In this paper, a new metaheuristic algorithm that is inspired by farmland fertility in nature is presented which is evaluated by using large number of mathematical problem of standard benchmark.•We compared it with other powerful metaheuristic algorithms such as: ABC, FA, HS, PSO, DA, BA and improv...

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Veröffentlicht in:	Applied soft computing Jg. 71; S. 728 - 746
Hauptverfasser:	Shayanfar, Human, Gharehchopogh, Farhad Soleimanian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.10.2018
Schlagworte:	Farmland fertility Global search Local search Metaheuristic algorithms Optimization Local search Global search Farmland fertility Optimization Metaheuristic algorithms
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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