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Table of Contents

Editors' introduction.- Aspects of optimality behavior in population genetics theory.- Optimization as a technique for studying population genetics equations.- Emergence of mutualism.- Three illustrations of artificial life's working hypothesis.- Self-organizing algorithms derived from RNA interactions.- Modeling the connection between development and evolution: Preliminary report.- Soft genetic operators in Evolutionary Algorithms.- Analysis of selection, mutation and recombination in genetic algorithms.- The role of mate choice in biocomputation: Sexual selection as a process of search, optimization, and diversification.- Genome growth and the evolution of the genotype-phenotype map.