Genetic algorithms + data structures = evolution programs

By Zbigniew Michalewicz

Subjects: Structure donnée, Operations research, Ordonnancement, Estructura de datos (Ciencia de la computación), Programowanie ewolucyjne, Problème transport, Algorithme génétique, Optymalizacja, Data structures (Computer science), Numerical analysis, Data structures (computer science), Algorithmique, Evolutionary programming (Computer science), Computer programs, Computer algorithms, Partitionnement, Qa76.9.a43 m53 1994, Saisie des données (Informatique), Artificial intelligence, Structures de données (Informatique), Voyageur commerce, Genetic algorithms, Computer science, Genetischer Algorithmus, Algorithms, Computadoras digitales (Programación), Logiciels, Algorytmy genetyczne, Algorithmes, Evolutionary programming (computer science), Software engineering, 005.1, Struktury danych (informatyka), Optimisation numérique

Description: Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear constraints, the traveling salesman problem, and problems of scheduling, partitioning, and control. The importance of these techniques has been growing in the last decade, since evolution programs are parallel in nature, and parallelism is one of the most promising directions in computer science. The book is self-contained and the only prerequisite is basic undergraduate mathematics. It is aimed at researchers, practitioners, and graduate students in computer science and artificial intelligence, operations research, and engineering. This second edition includes several new sections and many references to recent developments. A simple example of genetic code and an index are also added. Writing an evolution program for a given problem should be an enjoyable experience - this book may serve as a guide to this task.