A Practical Review on the Application of Constraint Handling Strategies in Evolutionary Computation from an Engineering Point of View

This study presents a review of the current constraint handling strategies that are being employed in evolutionary computation. The strategies can be as simple as a reject strategy or as sophisticated as decoding or multi-objective approaches. In this study, however, only the prominent methods and p...

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Main Authors: Yousefi, M., Hooshyar, D., Ahmad, R., Darus, A.N.
Format: Article
Published: Praise Worthy Prize S.r.l 2015
Subjects:
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author Yousefi, M.
Hooshyar, D.
Ahmad, R.
Darus, A.N.
author_facet Yousefi, M.
Hooshyar, D.
Ahmad, R.
Darus, A.N.
author_sort Yousefi, M.
collection UM
description This study presents a review of the current constraint handling strategies that are being employed in evolutionary computation. The strategies can be as simple as a reject strategy or as sophisticated as decoding or multi-objective approaches. In this study, however, only the prominent methods and previous works are considered. The Evolutionary algorithms cannot handle the constraints by themselves, and the growing application of EAs in various fields of engineering and science, which are mostly highly constrained, has made the use of efficient, easyto- implement and comprehensive constraint handling strategies inevitable. This study will shed light on this field of research and a comparison of various strategies will be also provided.
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spelling um.eprints-193452018-09-21T01:42:57Z http://eprints.um.edu.my/19345/ A Practical Review on the Application of Constraint Handling Strategies in Evolutionary Computation from an Engineering Point of View Yousefi, M. Hooshyar, D. Ahmad, R. Darus, A.N. QA75 Electronic computers. Computer science QA76 Computer software TJ Mechanical engineering and machinery This study presents a review of the current constraint handling strategies that are being employed in evolutionary computation. The strategies can be as simple as a reject strategy or as sophisticated as decoding or multi-objective approaches. In this study, however, only the prominent methods and previous works are considered. The Evolutionary algorithms cannot handle the constraints by themselves, and the growing application of EAs in various fields of engineering and science, which are mostly highly constrained, has made the use of efficient, easyto- implement and comprehensive constraint handling strategies inevitable. This study will shed light on this field of research and a comparison of various strategies will be also provided. Praise Worthy Prize S.r.l 2015 Article PeerReviewed Yousefi, M. and Hooshyar, D. and Ahmad, R. and Darus, A.N. (2015) A Practical Review on the Application of Constraint Handling Strategies in Evolutionary Computation from an Engineering Point of View. International Review on Modelling and Simulations (IREMOS), 8 (1). pp. 75-83. ISSN 1974-9821, DOI https://doi.org/10.15866/iremos.v8i1.5125 <https://doi.org/10.15866/iremos.v8i1.5125>. http://dx.doi.org/10.15866/iremos.v8i1.5125 doi:10.15866/iremos.v8i1.5125
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
TJ Mechanical engineering and machinery
Yousefi, M.
Hooshyar, D.
Ahmad, R.
Darus, A.N.
A Practical Review on the Application of Constraint Handling Strategies in Evolutionary Computation from an Engineering Point of View
title A Practical Review on the Application of Constraint Handling Strategies in Evolutionary Computation from an Engineering Point of View
title_full A Practical Review on the Application of Constraint Handling Strategies in Evolutionary Computation from an Engineering Point of View
title_fullStr A Practical Review on the Application of Constraint Handling Strategies in Evolutionary Computation from an Engineering Point of View
title_full_unstemmed A Practical Review on the Application of Constraint Handling Strategies in Evolutionary Computation from an Engineering Point of View
title_short A Practical Review on the Application of Constraint Handling Strategies in Evolutionary Computation from an Engineering Point of View
title_sort practical review on the application of constraint handling strategies in evolutionary computation from an engineering point of view
topic QA75 Electronic computers. Computer science
QA76 Computer software
TJ Mechanical engineering and machinery
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