*Result*: Sensitivity Analysis in Multi-objective Evolutionary Design, in Recent Advances in Simulated Evolution and Learning
Title:
Sensitivity Analysis in Multi-objective Evolutionary Design, in Recent Advances in Simulated Evolution and Learning
Authors:
Publisher Information:
Tekniska högskolan Maskinkonstruktion Singapore : World Scientific series on Advances in Natural Computation 2004
Document Type:
*Electronic Resource*
Electronic Resource
Index Terms:
Availability:
Open access content. Open access content
info:eu-repo/semantics/restrictedAccess
info:eu-repo/semantics/restrictedAccess
Note:
English
Other Numbers:
UPE oai:DiVA.org:liu-24101
urn:isbn:9-812-5-6179-X
urn:isbn:978-981-238-952-7
Local 3673
1233930502
urn:isbn:9-812-5-6179-X
urn:isbn:978-981-238-952-7
Local 3673
1233930502
Contributing Source:
UPPSALA UNIV LIBR
From OAIster®, provided by the OCLC Cooperative.
From OAIster®, provided by the OCLC Cooperative.
Accession Number:
edsoai.on1233930502
Database:
OAIster
*Further Information*
*Inspired by the Darwinian framework of evolution through natural selection and adaptation, the field of evolutionary computation has been growing very rapidly, and is today involved in many diverse application areas. This book covers the latest advances in the theories, algorithms, and applications of simulated evolution and learning techniques. It provides insights into different evolutionary computation techniques and their applications in domains such as scheduling, control and power, robotics, signal processing, and bioinformatics. The book will be of significant value to all postgraduates, research scientists and practitioners dealing with evolutionary computation or complex real-world problems*