Posted by **AvaxGenius** at March 2, 2017

English | EPUB | 2017 | 92 Pages | ISBN : 3319521551 | 1.02 MB

This book introduces readers to genetic algorithms (GAs) with an emphasis on making the concepts, algorithms, and applications discussed as easy to understand as possible. Further, it avoids a great deal of formalisms and thus opens the subject to a broader audience in comparison to manuscripts overloaded by notations and equations.

Posted by **hill0** at Jan. 8, 2017

English | 21 Feb. 2017 | ISBN: 3319521551 | 92 Pages | PDF | 2 MB

This book introduces readers to genetic algorithms (GAs) with an emphasis on making the concepts, algorithms, and applications discussed as easy to understand as possible. Further, it avoids a great deal of formalisms and thus opens the subject to a broader audience in comparison to manuscripts overloaded by notations and equations.

Posted by **step778** at June 9, 2015

2008 | pages: 701 | ISBN: 1848001800 | PDF | 26,2 mb

Posted by **libr** at Dec. 13, 2013

English | 2008 | ISBN: 1848001800 | 692 pages | PDF | 26,2 MB

Network models are critical tools in business, management, science and industry. Network Models and Optimization: Multiobjective Genetic Algorithm Approach presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems in many disciplines, such as engineering, computer science, operations research, transportation, telecommunication, and manufacturing.

Posted by **Veslefrikk** at Nov. 18, 2013

Sp ger | 2008 | ISBN: 1848001800 | 692 pages | PDF | 26,2 MB

Posted by **tot167** at Oct. 29, 2011

Sp ger | 2008 | ISBN: 1848001800 | 692 pages | PDF | 26,2 MB

Posted by **cifra7** at June 7, 2010

Publisher: Springer | ISBN: 1848001800 | edition 2008 | PDF | 692 pages | 16,5 mb

Network models are critical tools in business, management, science and industry. Network Models and Optimization: Multiobjective Genetic Algorithm Approach presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems in many disciplines, such as engineering, computer science, operations research, transportation, telecommunication, and manufacturing.

Posted by **exLib** at June 22, 2009

Stanford University | 1997 | ISBN: n/a | 167 pages | PDF | 5 Mb

This work concerns the optimization of characteristic petroleum problems considering economic factors. A hybrid algorithm based on direct methods such as Genetic Algorithm, polytope search method, Tabu Search and memory strategy is presented. Hybrid techniques were found to improve the overall method.

Posted by **tot167** at Nov. 18, 2008

Springer | 2008-07-29 | ISBN: 1848001800 | 692 pages | PDF | 16,4 MB

Posted by **libr** at Dec. 7, 2013

English | 2007 | ISBN: 354073189X | 442 pages | PDF | 7,6 MB

The book contains basic concepts, several applications of Genetic Algorithms and solved Genetic Problems using MATLAB software and C/C++.