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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Vydané v:	Applied soft computing Ročník 71; s. 728 - 746
Hlavní autori:	Shayanfar, Human, Gharehchopogh, Farhad Soleimanian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.10.2018
Predmet:	Farmland fertility Global search Local search Metaheuristic algorithms Optimization Local search Global search Farmland fertility Optimization Metaheuristic algorithms
ISSN:	1568-4946, 1872-9681
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