Posted by **srinivasgoud** at July 4, 2010

by Carlos A. Coello Coello, Gary B. Lamont, David A. Van Veldhuizen

Publisher: Springer | Publication Date:2007-09-18 | ISBN:0387332545 | 800 Pages | PDF | 9 MB

Solving multi-objective problems is an evolving effort, and computer science and other related disciplines have given rise to many powerful deterministic and stochastic techniques for addressing these large-dimensional optimization problems. Evolutionary algorithms are one such generic stochastic approach that has proven to be successful and widely applicable in solving both single-objective and multi-objective problems.

Posted by **tanas.olesya** at Jan. 26, 2015

English | Sep 18, 2007 | ISBN: 0387332545 | 810 Pages | PDF | 10 MB

This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom.

Posted by **lenami** at April 5, 2012

ISBN: 0387332545 | edition 2007 | PDF | 810 pages | 10 mb

Solving multi-objective problems is an evolving effort, and computer science and other related disciplines have given rise to many powerful deterministic and stochastic techniques for addressing these large-dimensional optimization problems. Evolutionary algorithms are one such generic stochastic approach that has proven to be successful and widely applicable in solving both single-objective and multi-objective problems.

Posted by **bookwyrm** at June 26, 2016

2015 | 188 Pages | ISBN: 8132219570 | PDF | 3 MB

Posted by **tanas.olesya** at Feb. 17, 2016

English | 21 July 2009 | ISBN: 3540852808 | 248 Pages | PDF | 2 MB

New perspective technologies of genetic search and evolution simulation represent the kernel of this book. The authors wanted to show how these technologies are used for practical problems solution.

Posted by **nebulae** at Jan. 24, 2016

English | ISBN: 1118341139 | 2015 | 240 pages | PDF | 5 MB

Posted by **bookwarrior** at Nov. 30, 2015

2012 | 469 Pages | ISBN: 3642234232 | PDF | 10 MB

Posted by **happy4all** at Sept. 4, 2015

2012 | 469 Pages | ISBN: 3642234232 | PDF | 10 MB

Posted by **insetes** at July 6, 2015

2012 | 469 Pages | ISBN: 3642234232 | PDF | 11 MB

Posted by **BUGSY** at May 12, 2015

English | Aug 20, 2014 | ISBN: 8132219570 | 181 Pages | PDF | 2 MB

This book describes how evolutionary algorithms (EA), including genetic algorithms (GA) and particle swarm optimization (PSO) can be utilized for solving multi-objective optimization problems in the area of embedded and VLSI system design.