Real Coded Genetic Algorithm (RCGA): a new RCGA mutator called Scale Truncated Pareto Mutation

This paper presents a comparison in the performance analysis between a newly developed mutation operator called Scaled Truncated Pareto Mutation (STPM) and an existing mutation operator called Log Logistic Mutation (LLM). STPM is used with Laplace Crossover (LX) taken from literature to form a new g...

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Main Authors: Lim, Siew Mooi, Sulaiman, Md. Nasir, Md. Sultan, Abu Bakar, Mustapha, Norwati, Tejo, Bimo Ario
Format: Article
Published: Asian Research Publishing Network (A R P N) 2014
Online Access:http://psasir.upm.edu.my/id/eprint/35162/
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author Lim, Siew Mooi
Sulaiman, Md. Nasir
Md. Sultan, Abu Bakar
Mustapha, Norwati
Tejo, Bimo Ario
author_facet Lim, Siew Mooi
Sulaiman, Md. Nasir
Md. Sultan, Abu Bakar
Mustapha, Norwati
Tejo, Bimo Ario
author_sort Lim, Siew Mooi
building UPM Institutional Repository
collection Online Access
description This paper presents a comparison in the performance analysis between a newly developed mutation operator called Scaled Truncated Pareto Mutation (STPM) and an existing mutation operator called Log Logistic Mutation (LLM). STPM is used with Laplace Crossover (LX) taken from literature to form a new generational RCGA called LX-STPM. The performance of LX-STPM is compared with an existing RCGA called LX-LLM on a set of 10 benchmark global optimization test problems based on a few performance criterions to investigate the reliability, efficiency, accuracy and quality of solutions of both optimization algorithms. The final outcomes show that LX-STPM is far superior than LX-LLM at all aspects.
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institution Universiti Putra Malaysia
institution_category Local University
last_indexed 2025-11-15T09:27:11Z
publishDate 2014
publisher Asian Research Publishing Network (A R P N)
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spelling upm-351622015-12-31T01:34:43Z http://psasir.upm.edu.my/id/eprint/35162/ Real Coded Genetic Algorithm (RCGA): a new RCGA mutator called Scale Truncated Pareto Mutation Lim, Siew Mooi Sulaiman, Md. Nasir Md. Sultan, Abu Bakar Mustapha, Norwati Tejo, Bimo Ario This paper presents a comparison in the performance analysis between a newly developed mutation operator called Scaled Truncated Pareto Mutation (STPM) and an existing mutation operator called Log Logistic Mutation (LLM). STPM is used with Laplace Crossover (LX) taken from literature to form a new generational RCGA called LX-STPM. The performance of LX-STPM is compared with an existing RCGA called LX-LLM on a set of 10 benchmark global optimization test problems based on a few performance criterions to investigate the reliability, efficiency, accuracy and quality of solutions of both optimization algorithms. The final outcomes show that LX-STPM is far superior than LX-LLM at all aspects. Asian Research Publishing Network (A R P N) 2014-02-20 Article PeerReviewed Lim, Siew Mooi and Sulaiman, Md. Nasir and Md. Sultan, Abu Bakar and Mustapha, Norwati and Tejo, Bimo Ario (2014) Real Coded Genetic Algorithm (RCGA): a new RCGA mutator called Scale Truncated Pareto Mutation. Journal of Theoretical and Applied Information Technology , 60 (2). pp. 245-253. ISSN 1992-8645; ESSN: 1817-3195 http://www.jatit.org/volumes/Vol60No2/sixtyth_2_2014.php
spellingShingle Lim, Siew Mooi
Sulaiman, Md. Nasir
Md. Sultan, Abu Bakar
Mustapha, Norwati
Tejo, Bimo Ario
Real Coded Genetic Algorithm (RCGA): a new RCGA mutator called Scale Truncated Pareto Mutation
title Real Coded Genetic Algorithm (RCGA): a new RCGA mutator called Scale Truncated Pareto Mutation
title_full Real Coded Genetic Algorithm (RCGA): a new RCGA mutator called Scale Truncated Pareto Mutation
title_fullStr Real Coded Genetic Algorithm (RCGA): a new RCGA mutator called Scale Truncated Pareto Mutation
title_full_unstemmed Real Coded Genetic Algorithm (RCGA): a new RCGA mutator called Scale Truncated Pareto Mutation
title_short Real Coded Genetic Algorithm (RCGA): a new RCGA mutator called Scale Truncated Pareto Mutation
title_sort real coded genetic algorithm (rcga): a new rcga mutator called scale truncated pareto mutation
url http://psasir.upm.edu.my/id/eprint/35162/
http://psasir.upm.edu.my/id/eprint/35162/