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Optimization of business game decisions

Sylvain Dufourny 1, 2 Clarisse Dhaenens 3, 1, 4
3 ORKAD - Operational Research, Knowledge And Data
CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
4 DOLPHIN - Parallel Cooperative Multi-criteria Optimization
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Abstract : Business games place people into a virtual economic environment in which competitive decisions have to be taken. In this context, an objective is to design intelligent agents that may take decision in place of the players. Therefore, the global problem should be modeled, taken into account all the constraints and the specific way to estimate the quality of the decisions. Then a hybrid optimization approach may be developed, combining a local search with exact optimizations of subparts of the problem. Experiments evaluate this approach with real played sessions.
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https://hal.archives-ouvertes.fr/hal-01347368
Contributor : Clarisse Dhaenens <>
Submitted on : Wednesday, July 20, 2016 - 10:33:55 PM
Last modification on : Friday, March 22, 2019 - 1:34:27 AM

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  • HAL Id : hal-01347368, version 1

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Sylvain Dufourny, Clarisse Dhaenens. Optimization of business game decisions. IFAC / IEEE / IFORS / IFIP / INFORMS MIM 2016 Conference on Manufacturing Modelling, Management, and Control, Jun 2016, Troyes, France. ⟨hal-01347368⟩

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