Get Free Shipping on orders over $79
Evolutionary Multi-Criterion Optimization : 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007, Proceedings - Shigeru Obayashi
eTextbook alternate format product

Instant online reading.
Don't wait for delivery!

Go digital and save!

Evolutionary Multi-Criterion Optimization

4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007, Proceedings

By: Shigeru Obayashi (Editor), Kalyanmoy Deb (Editor), Carlo Poloni (Editor)

Paperback | 12 February 2007

At a Glance

Paperback


$249.00

or 4 interest-free payments of $62.25 with

 or 

Ships in 5 to 7 business days

Multicriterion optimization refers to problems with two or more objectives (normally in conflict with each other) which must be simultaneously satisfied. Evolutionary algorithms have been used for solving multicriterion optimization problems for over two decades, gaining an increasing attention from industry. The 4th International Conference on Evolutionary Multi-criterion Optimization (EMO2007) was held during March 5-8, 2007, in Matsushima/Sendai, Japan. This was the fourth international conference dedicated entirely to this important topic, following the successful EMO 2001, EMO 2003 and EMO 2005 conferences, which were held in Zuerich, Switzerland in March 2001, in Faro, Portugal in April 2003, and in Guanajuato, Mexico in March 2005. EMO2007 was hosted by the Institute of Fluid Science, Tohoku University. EMO2007 was co-hosted by the Graduate School of Information Sciences, Tohoku University, the Japan Aerospace Exploration Agency (JAXA), and the Policy Grid Computing Laboratory, Kansai University. The EMO2007 scientific program included four keynote speakers: Hirotaka Nakayama on aspiration level methods, Kay Chen Tan on large and computationally intensive real-world MO optimization problems, Carlos Fonseca on decision making, and Gary B. Lamont on design of large-scale network centric systems.

More in Algorithms & Data Structures

Deep Learning Crash Course - Benjamin Midtvedt
Addiction by Design : Machine Gambling in Las Vegas - Natasha Dow Schll
Python for Algorithmic Trading : From Idea to Cloud Deployment - Yves Hilpisch
Learning Spark : Lightning-Fast Data Analytics - Brooke Wenig

RRP $152.00

$73.75

51%
OFF
New Storytelling : Learning through Metaphors - Anna Ursyn

RRP $103.00

$91.75

11%
OFF
Uncertain Data Analysis : Fuzzy Vector Algorithms - Sansanee Auephanwiriyakul
Uncertain Data Analysis : Fuzzy Vector Algorithms - Sansanee Auephanwiriyakul

RRP $94.99

$85.75

10%
OFF
Applied Data Science in FinTech : Models, Tools, and Case Studies - Juraj Hric
Python 3 Using DeepSeek - Oswald Campesato

$348.75

Scheduling Variable Capacity Resources for Sustainability - Andrew A. Chien