Comparison of genetic algorithm and particle swarm optimization algorithm for bicriteria permutation flowshop scheduling problem

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Thesis Type: Doctorate

Institution Of The Thesis: Marmara University, Institute for Graduate Studies in Pure and Applied Sciences, Department of Industrial Engineering (Eng), Turkey

Approval Date: 2006

Thesis Language: English

Student: ÖZGÜR UYSAL

Principal Supervisor (For Co-Supervisor Theses): Serol Bulkan