Can I read Maximizing Dual Function by Genetic Algorithm – A New Approach for Optimal Manpower Planning on EtoBox?

Maximizing Dual Function by Genetic Algorithm – A New Approach for Optimal Manpower Planning by Huang, De-Shuang; Li, Kang; Irwin, George William is a scholarly article available to read on EtoBox.

What is Maximizing Dual Function by Genetic Algorithm – A New Approach for Optimal Manpower Planning about?

This is the proceedings of the International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 2006. The book presents 165 revised full papers, carefully chosen and reviewed, organized in topical sections on fuzzy systems, fuzzy-neuro-evolutionary hybrids, supervised, unsupervised and reinforcement learning, intelligent agent and Web applications, intelligent fault diagnosis, natural language processing and expert systems, natural language human-machine interface using artificial neural networks, and intelligent financial engineering.

Author

Huang, De-Shuang; Li, Kang; Irwin, George William

Publisher

Springer Berlin Heidelberg

Published

2006

Language

EN

ISBN

9783540372714