Immune Evolutionary Algorithm for Determining Weights in Interval Judgments

DOI

10.2991/iske.2007.72How to use a DOI?

Keywords

immune evolutionary algorithm, interval judgments, weights

Abstract

In a Multiple Criteria Decision Analysis (MCDA) problem, determination of weights is an important aspect of the Analytic Hierarchy Process (AHP). In this paper, the problem to computer the weight vector of the interval number matrix is regarded as a nonlinear optimization model with constraints. An immune evolutionary algorithm is proposed to solve the problem with high speed by the matrix based coding technique and several immune operators including clonal proliferation, hypermutation, clonal elimination and immune memory. The experiments show the algorithm has the promising performance of convergence and accuracy.

Copyright

© 2007, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jingwen Huang
AU  - Yongsheng Ding
AU  - Zhihua Hu
PY  - 2007/10
DA  - 2007/10
TI  - Immune Evolutionary Algorithm for Determining Weights in Interval Judgments
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 428
EP  - 433
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.72
DO  - 10.2991/iske.2007.72
ID  - Huang2007/10
ER  -