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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2010
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my-mmu-ep.34032012-03-23T04:41:22Z Novel Hybrid Metaheuristics And Algorithm Extensions For Optimization Of Engineering Applications 2010-05 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 http://shdl.mmu.edu.my/3403/ http://vlib.mmu.edu.my/diglib/login/dlusr/login.php phd doctoral University of Multimedia Research Library |
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Multimedia University |
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MMU Institutional Repository |
| topic |
TA Engineering (General) Civil engineering (General) |
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TA Engineering (General) Civil engineering (General) Chiao Mei, Florence Choong Novel Hybrid Metaheuristics And Algorithm Extensions For Optimization Of Engineering Applications |
| 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. |
| format |
Thesis |
| qualification_name |
Doctor of Philosophy (PhD.) |
| qualification_level |
Doctorate |
| author |
Chiao Mei, Florence Choong |
| author_facet |
Chiao Mei, Florence Choong |
| author_sort |
Chiao Mei, Florence Choong |
| title |
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_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_sort |
novel hybrid metaheuristics and algorithm extensions for optimization of engineering applications |
| granting_institution |
University of Multimedia |
| granting_department |
Research Library |
| publishDate |
2010 |
| _version_ |
1747829489603182592 |