Kidney-inspired algorithm for optimization problems
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- 作者：Najmeh Sadat Jaddia ; najmehjaddi@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Jafar Alvankarianb ; alvankarian@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Salwani Abdullaha ; salwani@ukm.edu.my" class="auth_mail" title="E-mail the corresponding author
- 关键词：Artificial intelligence ; Kidney-inspired algorithm ; Optimization ; Meta-heuristics
- 刊名：Communications in Nonlinear Science and Numerical Simulation
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：42
- 期：Complete
- 页码：358-369
- 全文大小：3159 K
文摘
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Proposing a new population-based algorithm inspired by the kidney process in the human body.
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Simulating filtration, reabsorption, secretion and excretion processes of kidney in proposed algorithm.
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Assessing the proposed algorithm by applying it to eight well-known benchmark test functions and comparing the results with five algorithms in the literature.