Improved Slime-Mould-Algorithm with Fitness Distance Balance-based Guiding Mechanism for Global Optimization Problems

Improved Slime-Mould-Algorithm with Fitness Distance Balance-based Guiding Mechanism for Global Optimization Problems

In this study, the performance of Slime-Mould-Algorithm (SMA), a current Meta-Heuristic Search algorithm, is improved. In order to model the search process lifecycle process more effectively in the SMA algorithm, the solution candidates guiding the search process were determined using the fitness-di...

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Bibliographic Details
Main Authors:	Enes Cengiz, Mehmet Fatih Işık, Hamdi Kahraman, Cemal Yılmaz, Çağrı Suiçmez
Format:	Article
Language:	English
Published:	Düzce University 2021-12-01
Series:	Düzce Üniversitesi Bilim ve Teknoloji Dergisi
Subjects:	meta-sezgisel arama slime mould algoritması uygunluk-mesafe dengesi (fdb) kıyaslama problemleri meta-heuristic search slime mould algorithm fitness-distance balance (fdb) benchmark problems
Online Access:	https://dergipark.org.tr/tr/download/article-file/2052433

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