Immune Evolutionary Algorithm for Determining Weights in Interval Judgments
- 10.2991/iske.2007.72How to use a DOI?
- immune evolutionary algorithm, interval judgments, weights
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.
- © 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/).
Cite this article
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 -