Stability Analysis of Multiobjective Decision Functions Based on GP

Created by W.Langdon from gp-bibliography.bib Revision:1.4333

  author =       "Sichun Wang and Taishan Zhang and Zhiyun Yin and 
                 Chuwen Zhang",
  title =        "Stability Analysis of Multiobjective Decision
                 Functions Based on {GP}",
  journal =      "Journal of Computer Research and Development",
  year =         "2005",
  volume =       "42",
  number =       "8",
  pages =        "1318--1323",
  keywords =     "genetic algorithms, genetic programming, stability
                 analysis, decision functions, decision support system",
  URL =          "",
  DOI =          "doi:10.1360/crad20050806",
  abstract =     "In multi-objective decision problems many values must
                 be assigned, such as the importance of the different
                 criteria and the values of the alternatives with
                 respect to subjective criteria. Since these assignments
                 are approximate, it is very important to analyse the
                 sensitivity of results when small modifications of the
                 assignments are made. When solving a multicriteria
                 decision problem, it is desirable to choose a decision
                 function that leads to a solution as stable as
                 possible. Proposed here is a method based on genetic
                 programming that produces better decision functions
                 than the commonly used ones. The theoretical
                 expectations are validated by case studies.",
  notes =        "Code:crad20050806

                 College of Information Science and Engineering, Central
                 South University, Changsha 410083, China

                 Institute of Information Science, College of Hunan
                 Business, Changsha 410205, China

                 Copyright 2005 Science in China Press ?ICP?05023005?",

Genetic Programming entries for Sichun Wang Taishan Zhang Zhiyun Yin Chuwen Zhang