Evolutionary Algorithms for Solving Multi-Objective Problems

Evolutionary Algorithms for Solving Multi-Objective Problems by Carlos Coello Coello, David A. Van Veldhuizen, Gary B. Lamont.

Researchers and practitioners alike are increasingly turning to search, op­ timization, and machine-learning procedures based on natural selection and natural genetics to solve problems across the spectrum of human endeavor. These genetic algorithms and techniques of evolutionary computation are sol...

Full description

Saved in:
Bibliographic Details
Main Authors: Coello Coello, Carlos (Author), Van Veldhuizen, David A. (Author), Lamont, Gary B. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2002.
Edition:1st ed. 2002.
Series:Genetic Algorithms and Evolutionary Computation, 5
Springer eBook Collection.
Subjects:
Artificial intelligence.
Computers.
Engineering.
Operations research.
Decision making.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Login for hold information

‌

Click to view e-book

Online

Holdings details from Online
Call Number: E-Book
Status: Available

Similar Items