Global formulation for interactive multiobjective optimization

Authors:
Mariano Luque;Francisco Ruiz;Kaisa Miettinen
Affiliations:
University of Málaga, Málaga, Spain 29071;University of Málaga, Málaga, Spain 29071;Department of Mathematical Information Technology, University of Jyväskylä, Jyväskylä, Finland 40014
Venue:
OR Spectrum
Year:
2011

Citing 5
Cited 5

Interactive multiobjective optimization system WWW-NIMBUS on the internet

Computers and Operations Research - Special issue on artificial intelligence and decision support with multiple criteria
Equivalent Information for Multiobjective Interactive Procedures

Management Science
Integrating Approximation and Interactive Decision Making in Multicriteria Optimization

Operations Research
PROJECT method for multiobjective optimization based on gradient projection and reference points

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Normal vector identification and interactive tradeoff analysis using minimax formulation in multiobjective optimization

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans

A preference based interactive evolutionary algorithm for multi-objective optimization: PIE

EMO'11 Proceedings of the 6th international conference on Evolutionary multi-criterion optimization
A two-slope achievement scalarizing function for interactive multiobjective optimization

Computers and Operations Research
A new achievement scalarizing function based on parameterization in multiobjective optimization

OR Spectrum
Incremental user-interface development for interactive multiobjective optimization

Expert Systems with Applications: An International Journal
Survey of methods to visualize alternatives in multiple criteria decision making problems

OR Spectrum

Quantified Score

Hi-index	0.00

Visualization

Abstract

Interactive methods are useful and realistic multiobjective optimization techniques and, thus, many such methods exist. However, they have two important drawbacks when using them in real applications. Firstly, the question of which method should be chosen is not trivial. Secondly, there are rather few practical implementations of the methods. We introduce a general formulation that can accommodate several interactive methods. This provides a comfortable implementation framework for a general interactive system. Besides, this implementation allows the decision maker to choose how to give preference information to the system, and enables changing it anytime during the solution process. This change-of-method option provides a very flexible framework for the decision maker.