CONTENTS
PART I METHODOLOGIES FOR COMPLEX PROBLEM SOLVING
1 Generating Automatic Projections by Means of Genetic Programming
C. Estébanez and R. Aler
J. M. Valls, I. M. Galván, and P. Isasi
2.2 Lazy Radial Basis Neural Networks
3 Optimization Using Genetic Algorithms with Micropopulations
Y. Sáez
3.3 Experimental Analysis: The Rastrigin Function
4 Analyzing Parallel Cellular Genetic Algorithms
G. Luque, E. Alba, and B. Dorronsoro
4.2 Cellular Genetic Algorithms
4.4 Brief Survey of Parallel cGAs
5 Evaluating New Advanced Multiobjective Metaheuristics
A. J. Nebro, J. J. Durillo, F. Luna, and E. Alba
5.3 Description of the Metaheuristics
6 Canonical Metaheuristics for Dynamic Optimization Problems
G. Leguizamón, G. Ordóñnez, S. Molina, and E. Alba
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