Proceedings of the 1999 Congress on Evolutionary Computation: Cec99 : July 6-9, 1999 Mayflower Hotel Washington, D.C. USA [Paperback]

Congress on Evolutionary Computation (Author)

Product Details

• Paperback: 2348 pages
• Publisher: Ieee; 3 Volume Set edition (June 1999)
• Language: English
• ISBN-10: 0780355369
• ISBN-13: 978-0780355361
• Product Dimensions: 10.8 x 8.2 x 5.2 inches
• Shipping Weight: 12.2 pounds (View shipping rates and policies)
• Average Customer Review: 4.0 out of 5 stars  See all reviews (3 customer reviews)
• Amazon Best Sellers Rank: #8,308,851 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

5.0 out of 5 stars Great Reference Material in Evolutionary Computation, July 1, 2002

By A Customer

This review is from: Proceedings of the 1999 Congress on Evolutionary Computation: Cec99 : July 6-9, 1999 Mayflower Hotel Washington, D.C. USA (Paperback)

3 years after this conference, I'm still using it for reference. I especially like the particle swarm papers, and the evolutionary computation theory papers (many of them). This 3-vol. set is very good.

5.0 out of 5 stars Great Conference Proceedings, March 19, 2001

By A Customer

This review is from: Proceedings of the 1999 Congress on Evolutionary Computation: Cec99 : July 6-9, 1999 Mayflower Hotel Washington, D.C. USA (Paperback)

This 3-volume set of proceedings from the first Congress on Evolutionary Computation is a superb contribution and a must for anyone interested in evolutionary computation. Particularly nice was the focus on topics rather than techniques! The quality of papers was above average and many papers point to new research directions. Good stuff.

0 of 1 people found the following review helpful:

2.0 out of 5 stars many marginal papers, August 30, 2000

By A Customer

This review is from: Proceedings of the 1999 Congress on Evolutionary Computation: Cec99 : July 6-9, 1999 Mayflower Hotel Washington, D.C. USA (Paperback)

I was very disappointed of this large collection of papers. Although there are a few gems, most of the papers are of very marginal quality. There are many papers with little "improvements" that are not well tested (heard of statistical tests?), and many papers are not well written. People should proofread their work carefully to make sure that others will get the message.

Spend your money elsewhere: There are many good conferences in this area (search for the previous proceedings of evolutionary programming (EP) and the international conference on genetic algorithms).