A Multi-objective Evolutionary Algorithm Based On Decomposition For Continuous Optimization Using A Step-function Technique
Multi-objective optimization is an area of study which solves complex real-world problem that involves two or three objectives. Multi-objective Evolutionary Algorithm based on Decomposition (MOEA/D) is one of the algorithms that utilize the concepts of decomposition and neighbourhood to solve multi-...
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| Format: | Thesis |
| Language: | en |
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2022
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| Online Access: | http://eprints.usm.my/59252/1/CHUAH%20HOW%20SIANG%20-%20TESIS24.pdf http://eprints.usm.my/59252/ |
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| _version_ | 1834507040624476160 |
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| author | Chuah, How Siang |
| author_facet | Chuah, How Siang |
| author_sort | Chuah, How Siang |
| building | Hamzah Sendut Library |
| collection | Institutional Repository |
| content_provider | Universiti Sains Malaysia |
| content_source | USM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Multi-objective optimization is an area of study which solves complex real-world problem that involves two or three objectives. Multi-objective Evolutionary Algorithm based on Decomposition (MOEA/D) is one of the algorithms that utilize the concepts of decomposition and neighbourhood to solve multi-objective problems. One of the recent MOEA/D algorithms, i.e., Constant-distance based Neighbours for MOEA/D with Dynamic Weight Vector Adjustment (MOEA/D-AWACD), integrates the concept of a constant-distance neighbourhood and a dynamic weight vector design. This combination creates a flexible neighbourhood that can adapt to the weight vectors changes. However, MOEA/D-AWACD’s performance is dependent on a constant-distance parameter, |
| format | Thesis |
| id | my.usm.eprints.59252 |
| institution | Universiti Sains Malaysia |
| language | en |
| publishDate | 2022 |
| record_format | eprints |
| spelling | my.usm.eprints.59252 http://eprints.usm.my/59252/ A Multi-objective Evolutionary Algorithm Based On Decomposition For Continuous Optimization Using A Step-function Technique Chuah, How Siang QA75.5-76.95 Electronic computers. Computer science Multi-objective optimization is an area of study which solves complex real-world problem that involves two or three objectives. Multi-objective Evolutionary Algorithm based on Decomposition (MOEA/D) is one of the algorithms that utilize the concepts of decomposition and neighbourhood to solve multi-objective problems. One of the recent MOEA/D algorithms, i.e., Constant-distance based Neighbours for MOEA/D with Dynamic Weight Vector Adjustment (MOEA/D-AWACD), integrates the concept of a constant-distance neighbourhood and a dynamic weight vector design. This combination creates a flexible neighbourhood that can adapt to the weight vectors changes. However, MOEA/D-AWACD’s performance is dependent on a constant-distance parameter, 2022-05 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/59252/1/CHUAH%20HOW%20SIANG%20-%20TESIS24.pdf Chuah, How Siang (2022) A Multi-objective Evolutionary Algorithm Based On Decomposition For Continuous Optimization Using A Step-function Technique. PhD thesis, Universiti Sains Malaysia. |
| spellingShingle | QA75.5-76.95 Electronic computers. Computer science Chuah, How Siang A Multi-objective Evolutionary Algorithm Based On Decomposition For Continuous Optimization Using A Step-function Technique |
| title | A Multi-objective Evolutionary Algorithm Based On Decomposition For Continuous Optimization Using A Step-function Technique |
| title_full | A Multi-objective Evolutionary Algorithm Based On Decomposition For Continuous Optimization Using A Step-function Technique |
| title_fullStr | A Multi-objective Evolutionary Algorithm Based On Decomposition For Continuous Optimization Using A Step-function Technique |
| title_full_unstemmed | A Multi-objective Evolutionary Algorithm Based On Decomposition For Continuous Optimization Using A Step-function Technique |
| title_short | A Multi-objective Evolutionary Algorithm Based On Decomposition For Continuous Optimization Using A Step-function Technique |
| title_sort | multi-objective evolutionary algorithm based on decomposition for continuous optimization using a step-function technique |
| topic | QA75.5-76.95 Electronic computers. Computer science |
| url | http://eprints.usm.my/59252/1/CHUAH%20HOW%20SIANG%20-%20TESIS24.pdf http://eprints.usm.my/59252/ |
| url_provider | http://eprints.usm.my/ |