Novel Hybrid Metaheuristics And Algorithm Extensions For Optimization Of Engineering Applications

Chiao Mei, Florence Choong (2010) Novel Hybrid Metaheuristics And Algorithm Extensions For Optimization Of Engineering Applications. PhD thesis, University of Multimedia.

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Abstract

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.

Item Type: Thesis (PhD)
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 23 Mar 2012 04:41
Last Modified: 23 Mar 2012 04:41
URI: http://shdl.mmu.edu.my/id/eprint/3403

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