Multi-Objective Optimization Using Evolutionary Algorithms (häftad)
Fler böcker inom
Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
544
Utgivningsdatum
2008-10-28
Upplaga
1
Förlag
John Wiley & Sons Inc
Medarbetare
Deb
Illustrationer
black & white illustrations, black & white tables, maps, figures
Dimensioner
239 x 165 x 30 mm
Vikt
885 g
Antal komponenter
1
Komponenter
67:B&W 6.69 x 9.61 in or 244 x 170 mm (Pinched Crown) Perfect Bound on White w/Gloss Lam
ISBN
9780470743614

Multi-Objective Optimization Using Evolutionary Algorithms

Häftad,  Engelska, 2008-10-28
959
  • Skickas från oss inom 7-10 vardagar.
  • Fri frakt över 249 kr för privatkunder i Sverige.
Finns även som
Visa alla 1 format & utgåvor
The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists. Evolutionary algorithms are very powerful techniques used to find solutions to real-world search and optimization problems. Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. It has been found that using evolutionary algorithms is a highly effective way of finding multiple effective solutions in a single simulation run. Comrephensive coverage of this growing area of research. Carefully introduces each algorithm with examples and in-depth discussion. Includes many applications to real-world problems, including engineering design and scheduling. Includes discussion of advanced topics and future research. Accessible to those with limited knowledge of multi-objective optimization and evolutionary algorithms Provides an extensive discussion on the principles of multi-objective optimization and on a number of classical approaches. This integrated presentation of theory, algorithms and examples will benefit those working in the areas of optimization, optimal design and evolutionary computing.
Visa hela texten

Passar bra ihop

  1. Multi-Objective Optimization Using Evolutionary Algorithms
  2. +
  3. Big Cloud

De som köpt den här boken har ofta också köpt Big Cloud av Camille Seaman (inbunden).

Köp båda 2 för 1058 kr

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Fler böcker av Kalyanmoy Deb

Övrig information

Kalyanmoy Deb is an Indian computer scientist. Since 2013, Deb has held the Herman E. & Ruth J. Koenig Endowed Chair in the Department of Electrical and Computing Engineering at Michigan State University, which was established in 2001.

Innehållsförteckning

Foreword. Preface. Prologue. Multi-Objective Optimization. Classical Methods. Evolutionary Algorithms. Non-Elitist Multi-Objective Evolutionary Algorithms. Elitist Multi-Objective Evolutionary Algorithms. Constrained Multi-Objective Evolutionary Algorithms. Salient Issues of Multi-Objective Evolutionary Algorithms. Applications of Multi-Objective Evolutionary Algorithms. Epilogue. References. Index.