Chi Wai Ho, Raymond. / Thesis submitted in: December 1999. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2000. / Includes bibliographical references (leaves 93-97). / Abstracts in English and Chinese. / Chapter Chapter 1 --- Introduction --- p.7 / Chapter 1.1 --- Thesis Outline --- p.10 / Chapter 1.2 --- Contribution at a Glance --- p.11 / Chapter Chapter 2 --- Background Concept and Related Work --- p.14 / Chapter 2.1 --- Genetic Algorithms (GAs) --- p.14 / Chapter 2.2 --- The Nature of GAs --- p.16 / Chapter 2.3 --- The Role of Mutation --- p.17 / Chapter 2.4 --- The Role of Crossover --- p.18 / Chapter 2.5 --- The Roles of the Mutation and Crossover Rates --- p.19 / Chapter 2.6 --- Adaptation of the Mutation and Crossover Rates --- p.19 / Chapter 2.7 --- Diversity Control --- p.21 / Chapter 2.8 --- Coarse-grain Parallel Genetic Algorithms --- p.25 / Chapter 2.9 --- Adaptation of Migration Period --- p.26 / Chapter 2.10 --- Serial and Parallel GAs --- p.27 / Chapter 2.11 --- Distributed Java Machine (DJM) --- p.28 / Chapter 2.12 --- Clustering --- p.30 / Chapter Chapter 3 --- Adaptation of the Mutation and Crossover Rates --- p.35 / Chapter 3.1 --- The Probabilistic Rule-based Adaptive Model (PRAM) --- p.35 / Chapter 3.2 --- Time Complexity --- p.37 / Chapter 3.3 --- Storage Complexity --- p.38 / Chapter Chapter 4 --- Diversity Control --- p.39 / Chapter 4.1 --- Repelling --- p.39 / Chapter 4.2 --- Implementation --- p.42 / Chapter 4.3 --- Lazy Repelling --- p.43 / Chapter 4.4 --- Repelling and Lazy Repelling with Deterministic Crowding --- p.43 / Chapter 4.5 --- Comparison of Repelling and Lazy Repelling with Recent Diversity Maintenance Models in Time Complexity --- p.44 / Chapter Chapter 5 --- An Adaptive Parallel Genetic Algorithm --- p.46 / Chapter 5.1 --- A Steady-State Genetic Algorithm --- p.46 / Chapter 5.2 --- An Adaptive Parallel Genetic Algorithm (aPGA) --- p.47 / Chapter 5.3 --- An Adaptive Parallel Genetic Algorithm for Clustering --- p.48 / Chapter 5.4 --- Implementation --- p.48 / Chapter 5.5 --- Time Complexity --- p.51 / Chapter Chapter 6 --- Performance Evaluation of PRAM --- p.52 / Chapter 6.1 --- Solution Quality --- p.58 / Chapter 6.2 --- Efficiency --- p.60 / Chapter 6.3 --- Discussion --- p.62 / Chapter Chapter 7 --- Performance Evaluation of Repelling --- p.66 / Chapter 7.1 --- Performance Comparison of Repelling and Lazy Repelling with Deterministic Crowding --- p.70 / Chapter 7.2 --- Performance Comparison with Recent Diversity Maintenance Models --- p.73 / Chapter 7.3 --- Performance Comparison with Serial and Parallel Gas --- p.75 / Chapter Chapter 8 --- Performance Evaluation of aPGA --- p.78 / Chapter 8.1 --- Scalability of Different Dimensionalities --- p.78 / Chapter 8.2 --- Speedup of Schwefel's function --- p.83 / Chapter 8.3 --- Solution Quality of Clustering Problems --- p.87 / Chapter 8.4 --- Speedup of The Clustering Problem --- p.89 / Chapter Chapter 9 --- Conclusion --- p.91
| Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_323136 |
| Date | January 2000 |
| Contributors | Chi, Wai Ho Raymond., Chinese University of Hong Kong Graduate School. Division of Computer Science and Engineering. |
| Source Sets | The Chinese University of Hong Kong |
| Language | English, Chinese |
| Detected Language | English |
| Type | Text, bibliography |
| Format | print, 97 leaves : ill. ; 30 cm. |
| Rights | Use of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
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