Immune optimization approach solving multi-objective chance-constrained programming

This article presents one bio-inspired immune optimization approach for linear or nonlinear multi-objective chance-constrained programming with any a prior random vector distribution. Such approach executes in order sample-allocation, evolution and memory update within a run period. In these modules...

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Bibliographic Details

Published in:	Evolving systems Vol. 6; no. 1; pp. 41 - 53
Main Authors:	Zhang, Zhuhong, Wang, Lei, Long, Fei
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2015
Subjects:	Artificial Intelligence Complex Systems Complexity Engineering Original Paper Immune optimization Dominance probability Sample-allocation Artificial immune systems Multi-objective chance-constrained programming
ISSN:	1868-6478, 1868-6486
Online Access:	Get full text
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