Agent assisted interactive algorithm for computationally demanding multiobjective optimization problems

Abstract

We generalize the applicability of interactive methods for solving computationally demanding, that is, time-consuming, multiobjective optimization problems. For this purpose we propose a new agent assisted interactive algorithm. It employs a computationally inexpensive surrogate problem and four different agents that intelligently update the surrogate based on the preferences specified by a decision maker. In this way, we decrease the waiting times imposed on the decision maker during the interactive solution process and at the same time decrease the amount of preference information expected from

DOI: 10.1016/j.compchemeng.2015.03.004

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Cite this paper

@article{Ojalehto2015AgentAI, title={Agent assisted interactive algorithm for computationally demanding multiobjective optimization problems}, author={Vesa Ojalehto and Dmitry Podkopaev and Kaisa Miettinen}, journal={Computers & Chemical Engineering}, year={2015}, volume={77}, pages={105-115} }