High-performance simulation-based algorithms for an alpine ski racer’s trajectory optimization in heterogeneous computer systems
Roman Dębski (2014)
International Journal of Applied Mathematics and Computer Science
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Roman Dębski (2014)
International Journal of Applied Mathematics and Computer Science
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Jussi Hakanen, Yoshiaki Kawajiri, Kaisa Miettinen, Lorenz Biegler (2007)
Control and Cybernetics
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Ghoseiri, Keivan, Morshedsolouk, Fahimeh (2006)
Journal of Applied Mathematics and Decision Sciences
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Kurban, Mehmet, Filik, Ümmühan Başaran (2009)
Mathematical Problems in Engineering
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Michel Vasquez, Audrey Dupont, Djamal Habet (2003)
RAIRO - Operations Research - Recherche Opérationnelle
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We present a hybrid approach for the Frequency Assignment Problem with Polarization. This problem, viewed as Max-CSP, is treated as a sequence of decision problems, CSP like. The proposed approach combines the Arc-Consistency techniques with a performed Tabu Search heuristic. The resulting algorithm gives some high quality solutions and has proved its robustness on instances with approximately a thousand variables and nearly ten thousand constraints.
Huseyin Balci, Jorge Valenzuela (2004)
International Journal of Applied Mathematics and Computer Science
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This paper describes a procedure that uses particle swarm optimization (PSO) combined with the Lagrangian Relaxation (LR) framework to solve a power-generator scheduling problem known as the unit commitment problem (UCP). The UCP consists of determining the schedule and production amount of generating units within a power system subject to operating constraints. The LR framework is applied to relax coupling constraints of the optimization problem. Thus, the UCP is separated into independent...
Sergeant, Peter, Cimrák, Ivan, Melicher, Valdemar, Dupré, Luc, van Keer, Roger (2008)
Mathematical Problems in Engineering
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Ilija Nikolić (2007)
The Yugoslav Journal of Operations Research
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Weiyong Yu, Zhenhua Deng, Hongbing Zhou, Xianlin Zeng (2017)
Kybernetika
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This paper is concerned with solving the distributed resource allocation optimization problem by multi-agent systems over undirected graphs. The optimization objective function is a sum of local cost functions associated to individual agents, and the optimization variable satisfies a global network resource constraint. The local cost function and the network resource are the private data for each agent, which are not shared with others. A novel gradient-based continuous-time algorithm...
M. Minoux, J. Y. Serreault (1981)
RAIRO - Operations Research - Recherche Opérationnelle
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Amir Azaron, Masatoshi Sakawa, Reza Tavakkoli-Moghaddam, Nima Safaei (2007)
RAIRO - Operations Research
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We develop a discrete-time approximation technique dealing with the time-cost trade-off problem in PERT networks. It is assumed that the activity durations are independent random variables with generalized Erlang distributions, in which the mean duration of each activity is a non-increasing function of the amount of resource allocated to it. It is also assumed that the amount of resource allocated to each activity is controllable. Then, we construct an optimal control problem with...
Josep R. Medina, Víctor Yepes (2003)
SORT
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The eight basic elements to design genetic algorithms (GA) are described and applied to solve a low demand distribution problem of passengers for a hub airport in Alicante and 30 touristic destinations in Northern Africa and Western Europe. The flexibility of GA and the possibility of creating mutually beneficial feed-back processes with human intelligence to solve complex problems as well as the difficulties in detecting erroneous codes embedded in the software are described. A new...