A1 Journal article (refereed)
A Visualization Technique for Accessing Solution Pool in Interactive Methods of Multiobjective Optimization (2015)

Filatovas, E., Podkopaev, D., & Kurasova, O. (2015). A Visualization Technique for Accessing Solution Pool in Interactive Methods of Multiobjective Optimization. International Journal of Computers Communications and Control, 10(4), 508-519. https://doi.org/10.15837/ijccc.2015.4

JYU authors or editors

Publication details

All authors or editors: Filatovas, Ernestas; Podkopaev, Dmitry; Kurasova, Olga

Journal or series: International Journal of Computers Communications and Control

ISSN: 1841-9836

eISSN: 1841-9844

Publication year: 2015

Volume: 10

Issue number: 4

Pages range: 508-519

Publisher: Universitatea Agora

Publication country: Romania

Publication language: English

DOI: https://doi.org/10.15837/ijccc.2015.4

Persistent website address: http://univagora.ro/jour/index.php/ijccc/article/view/1672

Publication open access: Openly available

Publication channel open access: Open Access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/50731

Abstract

Interactive methods of multiobjective optimization repetitively derive Pareto optimal solutions based on decision maker's preference information and present the obtained solutions for his/her consideration. Some interactive methods save the obtained solutions into a solution pool and, at each iteration, allow the decision maker considering any of solutions obtained earlier. This feature contributes to the flexibility of exploring the Pareto optimal set and learning about the optimization problem. However, in the case of many objective functions, the accumulation of derived solutions makes accessing the solution pool cognitively difficult for the decision maker. We propose to enhance interactive methods with visualization of the set of solution outcomes using dimensionality reduction and interactive mechanisms for exploration of the solution pool. We describe a proposed visualization technique and demonstrate its usage with an example problem solved using the interactive method NIMBUS.

Keywords: multi-objective optimisation; interactivity; visualisation; Pareto efficiency; methods

Free keywords: Multiobjective optimization; interactive methods; Pareto front visualization; dimensionality reduction; multidimensional scaling

Contributing organizations

Ministry reporting: Yes

VIRTA submission year: 2015

JUFO rating: 1