Motivation for Differential Evolution for Permutative—Based Combinatorial Problems

Citation data:

Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization, ISSN: 1860-949X, Vol: 175, Page: 1-11

Publication Year:
2009
Usage 1337
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Citations 49
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Repository URL:
http://publikace.k.utb.cz/handle/10563/1002829; http://publikace.k.utb.cz/handle/10563/1002827; http://publikace.k.utb.cz/handle/10563/1002828; http://hdl.handle.net/10563/1002827; http://hdl.handle.net/10563/1002828; http://hdl.handle.net/10563/1002829
DOI:
10.1007/978-3-540-92151-6_1; 10.1007/978-3-540-92151-6_2; 10.1007/978-3-540-92151-6; 10.1007/978-3-540-92151-6_7
ISBN:
9783540921509; 9783540921516
OCLC:
436991112; 314175901; 746939569; 1005787532; 938883682
Author(s):
Onwubolu, Godfrey; Davendra, Donald David
Publisher(s):
Springer Nature; Springer; Springer-Verlag; Springer Berlin Heidelberg
Tags:
Computer Science; TRAVELING; SALESMAN PROBLEMS
book description
Discrete Set Handling and its application to permutative problems is presented in this chapter. Discrete Set is applied to Differential Evolution Algorithm, in order to enable it to solve strict-sence combinatorial problems. In addition to the theoretical framework and description, benchmark Flow Shop Scheduling and Traveling Salesman Problems are solved. The results are compared with published literature to illustrate the effectiveness of the developed approach. Also, general applications of Discrete Set Handling to Chaotic, non-linear and symbolic regression systems are given. © 2009 Springer-Verlag Berlin Heidelberg.