A Multi-Objective Integer Melody Search Algorithm

There are a number of algorithms for the solution of continuous optimization problems. However, many practical design optimization problems use integer design variables instead of continuous. These types of problems cannot be handled by using continuous design variables-based algorithms. In this pap...

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Main Authors: Jawad Shafique, Ayaz Ahmad, Shahid Ali Murtza
Format: Article
Language:English
Published: Taylor & Francis Group 2019-02-01
Series:Applied Artificial Intelligence
Online Access:http://dx.doi.org/10.1080/08839514.2018.1556419
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author Jawad Shafique
Ayaz Ahmad
Shahid Ali Murtza
author_facet Jawad Shafique
Ayaz Ahmad
Shahid Ali Murtza
author_sort Jawad Shafique
collection DOAJ
description There are a number of algorithms for the solution of continuous optimization problems. However, many practical design optimization problems use integer design variables instead of continuous. These types of problems cannot be handled by using continuous design variables-based algorithms. In this paper, we present a multi-objective integer melody search optimization algorithm (MO-IMS) for solving multi-objective integer optimization problems, which take design variables as integers. The proposed algorithm is a modified version of single-objective melody search (MS) algorithm, which is an innovative optimization algorithm, inspired by basic concepts applied in harmony search (HS) algorithm. Results show that MO-IMS has better performance in solving multi-objective integer problems than the existing multi-objective integer harmony search algorithm (MO-IHS). Performance of proposed algorithm is evaluated by using various performance metrics on test functions. The simulation results show that the proposed MO-IMS can be a better technique for solving multi-objective problems having integer decision variables.
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spelling doaj.art-563609e8c4ce41e7be6c6bf3755572b92023-09-15T09:33:57ZengTaylor & Francis GroupApplied Artificial Intelligence0883-95141087-65452019-02-0133320822810.1080/08839514.2018.15564191556419A Multi-Objective Integer Melody Search AlgorithmJawad Shafique0Ayaz Ahmad1Shahid Ali Murtza2UETCOMSATS University Isamabad - Wah CampusNational University of Sciences and TechnologyThere are a number of algorithms for the solution of continuous optimization problems. However, many practical design optimization problems use integer design variables instead of continuous. These types of problems cannot be handled by using continuous design variables-based algorithms. In this paper, we present a multi-objective integer melody search optimization algorithm (MO-IMS) for solving multi-objective integer optimization problems, which take design variables as integers. The proposed algorithm is a modified version of single-objective melody search (MS) algorithm, which is an innovative optimization algorithm, inspired by basic concepts applied in harmony search (HS) algorithm. Results show that MO-IMS has better performance in solving multi-objective integer problems than the existing multi-objective integer harmony search algorithm (MO-IHS). Performance of proposed algorithm is evaluated by using various performance metrics on test functions. The simulation results show that the proposed MO-IMS can be a better technique for solving multi-objective problems having integer decision variables.http://dx.doi.org/10.1080/08839514.2018.1556419
spellingShingle Jawad Shafique
Ayaz Ahmad
Shahid Ali Murtza
A Multi-Objective Integer Melody Search Algorithm
Applied Artificial Intelligence
title A Multi-Objective Integer Melody Search Algorithm
title_full A Multi-Objective Integer Melody Search Algorithm
title_fullStr A Multi-Objective Integer Melody Search Algorithm
title_full_unstemmed A Multi-Objective Integer Melody Search Algorithm
title_short A Multi-Objective Integer Melody Search Algorithm
title_sort multi objective integer melody search algorithm
url http://dx.doi.org/10.1080/08839514.2018.1556419
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