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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

A model-based selection mechanism in genetic algorithm.

January 2008 (has links)
Sit, Loi Yuk. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2008. / Includes bibliographical references (leaves 64-65). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.iii / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Introduction to Genetic Algorithm --- p.5 / Chapter 2.1 --- The Basic Genetic Algorithm --- p.5 / Chapter 2.1.1 --- Selection Mechanisms --- p.7 / Chapter 2.1.2 --- Variation Operators --- p.8 / Chapter 2.2 --- Implementation of Genetic Algorithm --- p.10 / Chapter 2.3 --- Examples of Combinatorial Optimization --- p.12 / Chapter 2.3.1 --- Max-Cut Problem --- p.12 / Chapter 2.3.2 --- Transportation Problem --- p.15 / Chapter 2.3.3 --- Travelling Salesman Problem --- p.23 / Chapter 3 --- Model Building --- p.27 / Chapter 3.1 --- Introduction --- p.27 / Chapter 3.2 --- Sampling Mechanism --- p.28 / Chapter 3.3 --- Sampling Algorithm --- p.34 / Chapter 3.4 --- Parameters Estimation --- p.35 / Chapter 3.4.1 --- Parameters α and β of f(y) --- p.36 / Chapter 3.4.2 --- "Parameters p of f(z\x1,x2)" --- p.38 / Chapter 4 --- Design and Results of the Simulation Study --- p.40 / Chapter 4.1 --- Introduction --- p.40 / Chapter 4.2 --- Selection Mechanism --- p.41 / Chapter 4.3 --- Choice of Parameters' Values --- p.42 / Chapter 4.4 --- Performance Index --- p.43 / Chapter 4.5 --- Results and Interpretation --- p.48 / Chapter 5 --- Empirical Checking of the Selection Rule --- p.54 / Chapter 5.1 --- Introduction --- p.54 / Chapter 5.2 --- Max-Cut Problem --- p.54 / Chapter 5.3 --- Transportation Problem --- p.56 / Chapter 5.4 --- Travelling Salesman Problem --- p.57 / Chapter 6 --- Conclusion and Discussion --- p.60 / Bibliography --- p.64

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