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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Bibliographic Details
Published in:	Applied soft computing Vol. 71; pp. 728 - 746
Main Authors:	Shayanfar, Human, Gharehchopogh, Farhad Soleimanian
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.10.2018
Subjects:	Farmland fertility Global search Local search Metaheuristic algorithms Optimization Local search Global search Farmland fertility Optimization Metaheuristic algorithms
ISSN:	1568-4946, 1872-9681
Online Access:	Get full text
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