Novel Hybrid Metaheuristics And Algorithm Extensions For Optimization Of Engineering Applications
NP-hard optimization problems that are found in many engineering domains pose great challenges to traditional algorithmic solutions. The search space normally encompasses a huge number of local optimal and the computational effort to achieve a global optimum can be very huge for practical use. In th...
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| Format: | Thesis |
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2010
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| Online Access: | http://shdl.mmu.edu.my/3403/ |
| _version_ | 1848790318009286656 |
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| author | Chiao Mei, Florence Choong |
| author_facet | Chiao Mei, Florence Choong |
| author_sort | Chiao Mei, Florence Choong |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | NP-hard optimization problems that are found in many engineering domains pose great challenges to traditional algorithmic solutions. The search space normally encompasses a huge number of local optimal and the computational effort to achieve a global optimum can be very huge for practical use. In this thesis, the design, analysis. improvement and application of metaheuristics for hard CO problems is presented. The research is motivated by four engineering applications that covers high-level synthesis, multiprocessor scheduling, flexible manufacturing systems and hybrid flow shop scheduling. |
| first_indexed | 2025-11-14T18:10:42Z |
| format | Thesis |
| id | mmu-3403 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:10:42Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-34032012-03-23T04:41:22Z http://shdl.mmu.edu.my/3403/ Novel Hybrid Metaheuristics And Algorithm Extensions For Optimization Of Engineering Applications Chiao Mei, Florence Choong TA Engineering (General). Civil engineering (General) NP-hard optimization problems that are found in many engineering domains pose great challenges to traditional algorithmic solutions. The search space normally encompasses a huge number of local optimal and the computational effort to achieve a global optimum can be very huge for practical use. In this thesis, the design, analysis. improvement and application of metaheuristics for hard CO problems is presented. The research is motivated by four engineering applications that covers high-level synthesis, multiprocessor scheduling, flexible manufacturing systems and hybrid flow shop scheduling. 2010-05 Thesis NonPeerReviewed Chiao Mei, Florence Choong (2010) Novel Hybrid Metaheuristics And Algorithm Extensions For Optimization Of Engineering Applications. PhD thesis, University of Multimedia. http://vlib.mmu.edu.my/diglib/login/dlusr/login.php |
| spellingShingle | TA Engineering (General). Civil engineering (General) Chiao Mei, Florence Choong Novel Hybrid Metaheuristics And Algorithm Extensions For Optimization Of Engineering Applications |
| title | Novel Hybrid Metaheuristics And Algorithm Extensions For Optimization Of Engineering Applications |
| title_full | Novel Hybrid Metaheuristics And Algorithm Extensions For Optimization Of Engineering Applications |
| title_fullStr | Novel Hybrid Metaheuristics And Algorithm Extensions For Optimization Of Engineering Applications |
| title_full_unstemmed | Novel Hybrid Metaheuristics And Algorithm Extensions For Optimization Of Engineering Applications |
| title_short | Novel Hybrid Metaheuristics And Algorithm Extensions For Optimization Of Engineering Applications |
| title_sort | novel hybrid metaheuristics and algorithm extensions for optimization of engineering applications |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://shdl.mmu.edu.my/3403/ http://shdl.mmu.edu.my/3403/ |