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Une heuristique d'optimisation globale basée sur la Ψ-transformation

Alexandre Dolgui, Valery Sysoev (2010)

RAIRO - Operations Research

In this paper, we study a heuristic algorithm for global optimization, which is based on the Ψ-transformation. We illustrate its behavior first, on a set of continuous non-convex objective functions – we search the global optimum of each function. Then, we give an example from combinatorial optimization. It concerns the optimization of scheduling rules parameters of a manufacturing system. Computational results are presented, they look encouraging.

Une méthode tabou pour l'ordonnancement multiprocesseur avec délais de communication

Dalila Tayachi, Philippe Chrétienne, Khaled Mellouli (2010)

RAIRO - Operations Research

This paper deals with the problem of scheduling n tasks on m identical processors in the presence of communication delays. A new approach of modelisation by a decision graph and a resolution by a tabu search method is proposed. Initial solutions are constructed by list algorithms, and then improved by a tabu algorithm operating in two phases. The experiments carried on arbitrary graphs show the efficiency of our method and that it outperformed the principle existent heuristics.

Virtual reality & logistics.

Pehlivanis, Konstantinos, Papagianni, Maria, Styliadis, Athanasios (2004)

Acta Universitatis Apulensis. Mathematics - Informatics

Which carbon derivatives are applicable in practice? A case study of a European steel company

Martin Šmíd, František Zapletal, Jana Hančlová (2017)

Kybernetika

This paper constructs and analyses a model for optimal production and emission covering of a real-life European steel company. The emissions may be covered by a combination of EUA and CER allowances and their derivatives. The company is assumed to be risk-averse, maximizing the Mean-CVaR criterion. The problem is analysed given continuum of risk-aversion coefficients and three scenarios of the demand. It is found that the production does not depend on the risk aversion and is always maximal, but...

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