Evolutionary Optimization(1st Edition)

Authors:

Ruhul Sarker ,Masoud Mohammadian ,Xin Yao

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

In Stock: 2 Left

Shipment time

Expected shipping within 2 - 3 Days
Access to 35 Million+ Textbooks solutions Free
Ask Unlimited Questions from expert AI-Powered Answers 30 Min Free Tutoring Session
7 days-trial

Total Price:

$97.92

List Price: $139.88 Savings: $41.96 (30%)
Access to 30 Million+ solutions
Ask 50 Questions from expert AI-Powered Answers 24/7 Tutor Help Detailed solutions for Evolutionary Optimization

Price:

$9.99

/month

Book details

ISBN: 1475775709, 978-1475775709

Book publisher: Springer

Offer Just for You!: Buy 2 books before the end of January and enter our lucky draw.

Book Price $97.92 : Evolutionary Computation Techniques Have Attracted Increasing Att- Tions In Recent Years For Solving Complex Optimization Problems. They Are More Robust Than Traditional Methods Based On Formal Logics Or Mathematical Programming For Many Real World OR/MS Problems. E- Lutionary Computation Techniques Can Deal With Complex Optimization Problems Better Than Traditional Optimization Techniques. However, Most Papers On The Application Of Evolutionary Computation Techniques To Operations Research /Management Science (OR/MS) Problems Have Scattered Around In Different Journals And Conference Proceedings. They Also Tend To Focus On A Very Special And Narrow Topic. It Is The Right Time That An Archival Book Series Publishes A Special Volume Which - Cludes Critical Reviews Of The State-of-art Of Those Evolutionary Com- Tation Techniques Which Have Been Found Particularly Useful For OR/MS Problems, And A Collection Of Papers Which Represent The Latest Devel- Ment In Tackling Various OR/MS Problems By Evolutionary Computation Techniques. This Special Volume Of The Book Series On Evolutionary - Timization Aims At Filling In This Gap In The Current Literature. The Special Volume Consists Of Invited Papers Written By Leading - Searchers In The Field. All Papers Were Peer Reviewed By At Least Two Recognised Reviewers. The Book Covers The Foundation As Well As The Practical Side Of Evolutionary Optimization.