Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Free delivery for purchases over 19 990 Ft

DPD courier 1 190 Ft Post 1 795 Ft Post 1 690 Ft Post 1 690 Ft GLS point 1 390 Ft FoxPost 1 190 Ft Packeta point 1 190 Ft DPD point 990 Ft GLS courier 1 790 Ft

Contact

How to shop

Help

My account

▸ Empty :-(

Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Evolutionary Constrained Optimization

Name: Evolutionary Constrained Optimization
Brand: Springer, India, Private Ltd
SKU: 13719945
Price: 39688 HUF
Availability: InStock
Author: Rituparna Datta
ISBN: 9788132235057

Rituparna Datta

Kalyanmoy Deb

Rituparna Datta

Language

English

Book Paperback

Libristo code: 13719945

Publishers Springer, India, Private Ltd, August 2016

This book makes available a self-contained collection of modern research addressing the general cons... Full description

Libristo code: 13719945

271 b

39 688 Ft

In stock at our supplier Shipping in 5-8 days

30-day return policy

Customers also purchased

Souvenirs Et Anecdotes Sur Les Comites Revolutionnaires (Clubs), 1793-1795 (2e Edition) Audiger-G

Paperback

11 504 Ft

Argus, Dogue d'Eadlip Ou Correspondance de Famille. Tome 3 G Paschoud

Paperback

10 376 Ft

Tourist (Tourist 20th Anniversary Travel Versions) St. Germain

Audio CD

9 221 Ft

Décret de Gratien - Causes 27 à 36 Le Mariage Gratien

Paperback

24 930 Ft

La vida en Annwn Owen Jones

Adobe ePub DRM

2 168 Ft

This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based methodology; multi-objective based methodology; new constraint handling mechanism; hybrid methodology; scaling issues in constrained optimization; design of scalable test problems; parameter adaptation in constrained optimization; handling of integer, discrete and mix variables in addition to continuous variables; application of constraint handling techniques to real-world problems; and constrained optimization in dynamic environment. There is also a separate chapter on hybrid optimization, which is gaining lots of popularity nowadays due to its capability of bridging the gap between evolutionary and classical optimization. The material in the book is useful to researchers, novice, and experts alike. The book will also be useful for classroom teaching and future research.