Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/786
Title: A new algorithm based on gray wolf optimizer and shuffled frog leaping algorithm to solve the multi-objective optimization problems
Authors: Karakoyun, Murat
Özkış, Ahmet
Kodaz, Halife
Keywords: Gray Wolf Optimizer
Levy Flight
Multi-Objective Optimization
Fast-Non-Dominated-Sorting
Pareto Theorem
Particle Swarm Optimization
Shop Scheduling Problem
Evolutionary Algorithms
Genetic Algorithm
Levy Flight
Search
Selection
Mutation
Operator
Flow
Issue Date: 2020
Publisher: ELSEVIER
Abstract: Multi-objective optimization is many important since most of the real world problems are in multiobjective category. Looking at the literature, the algorithms proposed for the solution of multi-objective problems have increased in recent years, but there is no a convenient approach for all kind of problems. Therefore, researchers aim to contribute to the literature by offering new approaches. In this study, an algorithm based on gray wolf optimizer (GWO) with memeplex structure of the shuffled frog leaping algorithm (SFLA), which is named as multi-objective shuffled GWO (MOSG), is proposed to solve the multi-objective optimization problems. Additionally, some modifications are applied on the proposed algorithm to improve the performance from different angles. The performance of the proposed algorithm is compared with the performance of six multi-objective algorithms on a benchmark set consist of 36 problems. The experimental results are presented with four different comparison metrics and statistical tests. According to the results, it can easily be said that the proposed algorithm is generally successful to solve the multi-objective problems and has better or competitive results. (C) 2020 Elsevier B.V. All rights reserved.
URI: https://doi.org/10.1016/j.asoc.2020.106560
https://hdl.handle.net/20.500.13091/786
ISSN: 1568-4946
1872-9681
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

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