Dear customers, due to a public holiday, customer support is not available today. We will attend to your requests the next business day. Thank you for your understanding.

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

Austrian Post 5.49 € DPD courier 3.99 € DPD point 2.99 €

Contact

How to shop

Help

My account

▸ Empty :-(

Dear customers, due to a public holiday, customer support is not available today. We will attend to your requests the next business day. Thank you for your understanding.

Evolutionary Constrained Optimization

Name: Evolutionary Constrained Optimization
Brand: Springer, India, Private Ltd
SKU: 13719945
Price: 107.29 EUR
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

263 b

107.29 € VAT included

In stock at our supplier Shipping in 5-8 days

Delivery to Austria

30-day return policy

Customers also purchased

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

Paperback

31.29 €

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

Paperback

28.19 €

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

Audio CD

24.99 €

Décret de Gratien - Causes 27 à 36 Le Mariage Gratien

Paperback

72.49 €

La vida en Annwn Owen Jones

Adobe ePub DRM

6.29 €

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.