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2006, 2nd ed., ISBN 9783540250593, xvii, 325
In the field of genetic and evolutionary algorithms (GEAs), a large amount of theory and empirical study has been focused on operators and test problems, while problem representation has often been taken as given... 
Genetic programming (Computer science) | Evolutionary programming (Computer science) | Representations of groups | Genetic algorithms | Representations of algebras | Engineering | IT in Business | Artificial Intelligence | Operations Research/Decision Theory | Mathematical and Computational Engineering
Book
ACM computing surveys, ISSN 0360-0300, 09/2015, Volume 48, Issue 1, pp. 1 - 35
Journal Article
Journal Article
2014, 1, Elsevier insights, ISBN 0124167438, 300
Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization... 
Distributed processing | Electronic data processing | Parallel processing (Electronic computers) | Computer algorithms | Artificial intelligence | Engineering | Algorithms | Mathematical optimization
eBook
Journal of machine learning research, ISSN 1532-4435, 07/2012, Volume 13, pp. 2171 - 2175
.... Its design departs from most other existing frameworks in that it seeks to make algorithms explicit and data structures transparent, as opposed to the more common black-box frameworks... 
Distributed evolutionary algorithms | Software tools | Automation & Control Systems | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology
Journal Article
Evolutionary computation, ISSN 1063-6560, 1993
Journal
Applied soft computing, ISSN 1568-4946, 05/2015, Volume 30, pp. 614 - 627
Journal Article