A Multi-Objective Integer Melody Search Algorithm

Shafique, Jawad and Ahmad, Ayaz and Murtza, Shahid Ali (2019) A Multi-Objective Integer Melody Search Algorithm. Applied Artificial Intelligence, 33 (3). pp. 208-228. ISSN 0883-9514

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Abstract

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.

Item Type: Article
Subjects: Research Scholar Guardian > Computer Science
Depositing User: Unnamed user with email support@scholarguardian.com
Date Deposited: 23 Jun 2023 07:21
Last Modified: 06 Dec 2023 03:45
URI: http://science.sdpublishers.org/id/eprint/1190

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