Multi-Objective Optimization

Evolutionary to Hybrid Framework

By: Jyotsna K. Mandal (Editor), Somnath Mukhopadhyay (Editor), Paramartha Dutta (Editor)

Write A Review

Paperback | 23 December 2018

At a Glance

Paperback
336 Pages

Dimensions(cm)
23.5 x 15.5 x 1.78

Paperback

$259.01

or 4 interest-free payments of $64.75 with

Ships in 5 to 7 business days

This book brings together the latest findings on efficient solutions of multi/many-objective optimization problems from the leading researchers in the field. The focus is on solving real-world optimization problems using strategies ranging from evolutionary to hybrid frameworks, and involving various computation platforms.

The topics covered include solution frameworks using evolutionary to hybrid models in application areas like Analytics, Cancer Research, Traffic Management, Networks and Communications, E-Governance, Quantum Technology, Image Processing, etc. As such, the book offers a valuable resource for all postgraduate students and researchers interested in exploring solution frameworks for multi/many-objective optimization problems.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $89.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.