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…
Counted ratings come from accounts older than 7 days and were made on or after publication. Finished readers weigh ×1.0. Readers who have not finished yet weigh ×0.5. Did-not-finish ratings are shown but not counted.
Editions
9 editions · 2 languages
Paperback · German · 2014
Springer · 360 pages · 9783662074190
Other · Polish · 2003
Algorytmy genetyczne + struktury danych = programy ewolucyjne
Wydawnictwa Naukowo-Techniczne · 430 pages · 9788320428810
Paperback · German · 2011
Springer · 407 pages · 9783642082337
Ebook · German · 1994
Genetic Algorithms + Data Structures =
Springer Berlin Heidelberg · 340 pages · 9783662074206
Other · German · 2013
Springer London, Limited · 9783662033159
Other · German · 2013
Springer London, Limited · 9783662028308
Computer algorithmsComputer programsData structures (Computer science)Genetic algorithmsLogicielsOptimisation numériqueSaisie des données (Informatique)Problème transport
