Enrique Alba, Carlos Cotta
Departamento de Lenguajes y Ciencias de la Computación
Universidad de Málaga, España




TABLE OF CONTENTS

(Disclaimer: this tutorial is far from exhaustive. News items are being added subject to our time commitments)




I. INTRODUCTION TO NATURE-INSPIRED ALGORITHMIC TECHNIQUES
I.1 Introduction to Evolutionary Computation
I.2 Important Paradigms in Evolutionary Computation
I.3 Characterization of Evolutionary Computation
I.4 Common Components in EC Algorithms
I.5 A Distinguished EC Representative: Genetic Algorithms
I.6 Relationship with other Techniques
I.7 Important and Present Research Areas in Evolutionary Computation


II. GENETIC ALGORITHMS
II.1 Basic Operations
II.2 Schema Theorem and Theoretical Background
II.3 Solving a Problem: Genotype and Fitness
II.4 Models of Evolution
II.5 Advanced Operators
II.6 Non-Conventional Genotypes
II.7 Important Issues in the Implementation of a GA
II.8 Response to Selection


III. APPLICATIONS OF GENETIC ALGORITHMS
III.1 Index of Most Important Applications of the Genetic Algorithms
III.2 GAs for the Design of Neural Networks
III.3 GAs in Combinatorial Optimization


IV. MODELS FOR THE PARALLELIZATION OF GENETIC ALGORITHMS
IV.1 Need of Parallelization
IV.2 Fine and Coarse Grain Models
IV.3 A Global Vision of the Existing Parallel GA Software
IV.4 Object Orientation and Parallelism
IV.5 Applications and Relationships with the Sequential Models


V. DIRECTLY RELATED GA TECHNIQUES
V.1 Adaptive Parameterizations


VI. GENETIC PROGRAMMING
VI.1 Background
VI.2 GP for the Generation of Fuzzy Rules


VII. EC RELATED TECHNIQUES
VII.1 Tabu Search


VIII. HYBRIDIZATION OF EC ALGORITHMS
VIII.1 GA + Branch and Bound


APPENDIX A. BIBLIOGRAPHY OF APPLICATION-RELATED RESEARCH


APPENDIX B. FIGURE INDEX


APPENDIX C. SIMULATION OF A GA



      
Enrique Alba Torres / eat@lcc.uma.es
Carlos Cotta Porras / ccottap@lcc.uma.es
       Design & Elaboration:
    Enrique Alba Torres
    Carlos Cotta Porras
    Antonio J. Dorado Ruiz


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This page was updated on 27-Jul-2001