Title: Interactive environment WebOptim for solving multiple-objective problems using scalarising and evolutionary approaches

Authors: Leoneed M. Kirilov; Vassil Guliashki; Krasimira Genova; Peter Zhivkov; Boris Staykov; Daniel Vatov

Addresses: Department of Information Processes and Decision Support Systems, Institute of Information and Communication Technologies – BAS, Sofia, Bulgaria ' Department of Information Processes and Decision Support Systems, Institute of Information and Communication Technologies – BAS, Sofia, Bulgaria ' Department of Information Processes and Decision Support Systems, Institute of Information and Communication Technologies – BAS, Sofia, Bulgaria ' ZH Software LTD, zk Krasno selo, block 210, entr. E, apt. 100, Sofia 1618, Bulgaria ' Department of Information Processes and Decision Support Systems, Institute of Information and Communication Technologies – BAS, Sofia, Bulgaria ' Department of Information Processes and Decision Support Systems, Institute of Information and Communication Technologies – BAS, Sofia, Bulgaria

Abstract: A web-based decision support system (DSS) is presented in this paper. It is an interactive environment for solving multiple-objective problems with continuous and/or integer decision variables. The system is targeted at different types of users - researchers, educators and business people. The system supports a number of fifteen interactive methods. They are incorporated into original generalised scalarising interactive method (GENS-IM). The choice of a method is organised in an implicit way on the base of decision maker's (DM) preferences. An evolutionary method is also included in the system. The DM can switch the methods in one solution process.

Keywords: multiobjective optimisation; decision support systems; web-based DSS; interactive methods; evolutionary algorithms; hybrid heuristics; decision maker preferences.

DOI: 10.1504/IJRIS.2015.070907

International Journal of Reasoning-based Intelligent Systems, 2015 Vol.7 No.1/2, pp.4 - 15

Available online: 31 Jul 2015 *

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