Posted by **tanas.olesya** at March 23, 2016

English | 13 Jan. 2009 | ISBN: 3540921508 | 226 Pages | PDF | 25 MB

What is combinatorial optimization? Traditionally, a problem is considered to be c- binatorial if its set of feasible solutions is both ?nite and discrete, i. e. , enumerable. For example, the traveling salesman problem asks in what order a salesman should visit the cities in his territory if he wants to minimize his total mileage.

Posted by **BUGSY** at May 10, 2015

English | July 23, 2008 | ISBN: 3540688277 | 340 Pages | PDF | 6 MB

Differential evolution is arguably one of the hottest topics in today's computational intelligence research. This book seeks to present a comprehensive study of the state of the art in this technology and also directions for future research.

Posted by **BUGSY** at May 10, 2015

English | Sep 2, 2009 | ISBN: 3642015263 | 170 Pages | PDF | 3 MB

The fundamental theme of this book is theoretical study of differential evolution and algorithmic analysis of parameter adaptive schemes. The book offers real-world insights into a variety of large-scale complex industrial applications.

Posted by **tanas.olesya** at Jan. 25, 2015

English | Dec 22, 2005 | ISBN: 3540209506 | 542 Pages | PDF | 10 MB

Problems demanding globally optimal solutions are ubiquitous, yet many are intractable when they involve constrained functions having many local optima and interacting, mixed-type variables.

Posted by **manamba13** at Jan. 9, 2015

English | 2009 | ISBN: 0470823925 | 451 Pages | PDF | 14 MB

Differential evolution is a very simple but very powerful stochastic optimizer. Since its inception, it has proved very efficient and robust in function optimization and has been applied to solve problems in many scientific and engineering fields. In Differential Evolution , Dr. Qing begins with an overview of optimization, followed by a state-of-the-art review of differential evolution, including its fundamentals and up-to-date advances.

Posted by **ChrisRedfield** at Aug. 22, 2014

Published: 2006-10-17 | ISBN: 0387368957, 1441942343 | PDF | 196 pages | 3 MB

Posted by **interes** at June 8, 2014

English | ISBN: 3540209506 | 2005 | PDF | 542 pages | 9,8 mb

Problems demanding globally optimal solutions are ubiquitous, yet many are intractable when they involve constrained functions having many local optima and interacting, mixed-type variables.

Posted by **libr** at Jan. 24, 2014

English | 2009 | ISBN: 0470823925 | 352 pages | PDF | 14,4 MB

Differential evolution is a very simple but very powerful stochastic optimizer. Since its inception, it has proved very efficient and robust in function optimization and has been applied to solve problems in many scientific and engineering fields. In Differential Evolution , Dr. Qing begins with an overview of optimization, followed by a state-of-the-art review of differential evolution, including its fundamentals and up-to-date advances.

Posted by **Veslefrikk** at Jan. 11, 2014

Springer | 2009-02-01 | ISBN: 3540921508 | 214 pages | PDF | 24,5 MB

Posted by **libr** at Aug. 19, 2013

English | 2008-07-23 | ISBN: 3540688277 | 342 pages | PDF | 6.2 mb

Differential evolution is arguably one of the hottest topics in today's computational intelligence research. This book seeks to present a comprehensive study of the state of the art in this technology and also directions for future research. The fourteen chapters of this book have been written by leading experts in the area.