Evolutionary Algorithms For Solving Multiobjective Problems

Evolutionary Algorithms for Solving Multi-Objective Problems by Carlos Coello Coello [Repost]

Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation) by Carlos Coello Coello
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.
Carlos A. Coello Coello, "Evolutionary Algorithms for Solving Multi-Objective Problems"(repost)

Carlos A. Coello Coello, "Evolutionary Algorithms for Solving Multi-Objective Problems"
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.

Evolutionary Algorithms for Solving Multi-Objective Problems(Repost)  eBooks & eLearning

Posted by srinivasgoud at July 4, 2010
 Evolutionary Algorithms for Solving Multi-Objective Problems(Repost)

"Evolutionary Algorithms for Solving Multi-Objective Problems" (Genetic and Evolutionary Computation)
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.
Support Vector Machines and Evolutionary Algorithms for Classification: Single or Together? (Repost)

Support Vector Machines and Evolutionary Algorithms for Classification: Single or Together? By Catalin Stoean, Ruxandra Stoean
2014 | 140 Pages | ISBN: 3319069403 | PDF | 3 MB

Meta-heuristic and Evolutionary Algorithms for Engineering Optimization  eBooks & eLearning

Posted by nebulae at Sept. 9, 2017
Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

Omid Bozorg–Haddad and Mohammad Solgi, "Meta-heuristic and Evolutionary Algorithms for Engineering Optimization"
English | ISBN: 1119386993 | 2017 | 304 pages | PDF | 2 MB
Molecular Symmetry, Super-Rotation, and Semiclassical Motion: New Ideas for Solving Old Problems

Molecular Symmetry, Super-Rotation, and Semiclassical Motion: New Ideas for Solving Old Problems By Hanno Schmiedt
English | PDF | 2017 | 172 Pages | ISBN : 3319660705 | 4.89 MB

This book presents a range of fundamentally new approaches to solving problems involving traditional molecular models. Fundamental molecular symmetry is shown to open new avenues for describing molecular dynamics beyond standard perturbation techniques.

Variants of Evolutionary Algorithms for Real-World Applications (Repost)  eBooks & eLearning

Posted by naag at April 4, 2017
Variants of Evolutionary Algorithms for Real-World Applications (Repost)

Variants of Evolutionary Algorithms for Real-World Applications By Raymond Chiong, Thomas Weise, Zbigniew Michalewicz
2012 | 469 Pages | ISBN: 3642234232 | PDF | 10 MB

Evolutionary Algorithms for Food Science and Technology  eBooks & eLearning

Posted by ksveta6 at Dec. 29, 2016
Evolutionary Algorithms for Food Science and Technology

Evolutionary Algorithms for Food Science and Technology by Evelyne Lutton, Nathalie Perrot, Alberto Tonda
2016 | ISBN: 1848218133 | English | 182 pages | PDF | 5 MB
Application of Evolutionary Algorithms for Multi-Objective Optimization in VLSI and Embedded Systems (Repost)

Application of Evolutionary Algorithms for Multi-Objective Optimization in VLSI and Embedded Systems By M. C. Bhuvaneswari
2015 | 188 Pages | ISBN: 8132219570 | PDF | 3 MB

Genetic Algorithms for Applied CAD Problems [Repost]  eBooks & eLearning

Posted by tanas.olesya at Feb. 17, 2016
Genetic Algorithms for Applied CAD Problems  [Repost]

Genetic Algorithms for Applied CAD Problems by Viktor M. Kureichik
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.