Results 201 to 210 of about 12,208,333 (235)
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Multi-objective optimal multiple reservoir operation
2011 IEEE Congress of Evolutionary Computation (CEC), 2011Hydropower plants produce most of the electrical power generated in Brazil. Although the remaining potential is still large, most of it is located far from the industrialized southeastern states. In addition to that, the increasing opposition to the construction of new large reservoirs, for ecological and social reasons, highlights the need for the ...
Luis A. Scola +3 more
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Constrained optimization using multiple objective programming
Journal of Global Optimization, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kathrin Klamroth, Jørgen Tind
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Handling multiple objectives with particle swarm optimization
IEEE Transactions on Evolutionary Computation, 2004This paper presents an approach in which Pareto dominance is incorporated into particle swarm optimization (PSO) in order to allow this heuristic to handle problems with several objective functions. Unlike other current proposals to extend PSO to solve multiobjective optimization problems, our algorithm uses a secondary (i.e., external) repository of ...
Carlos A. Coello Coello +2 more
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A Multiple Objective Optimization-Based Approach to Choicemaking
IEEE Transactions on Systems, Man, and Cybernetics, 1980An approach for choicemaking under certainty, based in part upon multiple objectve optimizatin is presented in this paper. With this approach dearly inferior alternatives are eliminated and subsets of alternatives are determined whih are guaranteed to contain the most preferred alternatives through use of an induced partial order on the set of ...
Chelsea C. White III, Andrew P. Sage
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Optimality conditions in nonconical multiple-objective programming
Journal of Optimization Theory and Applications, 1983Previous theoretical work in multiple-objective optimization has focused entirely on vector orders representable by positive cones. Here, we treat multiple-objective problems in which solutions are sought which are maximal (efficient, nondominated) under an order which may be nonconical.
Hazen, G. B., Morin, T. L.
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Multiple Objective Optimization of Reconfigurable Manufacturing System
2012Reconfigurable Manufacturing System (RMS) is the state of art technology offering the functionality and capacity that is needed, when it is needed. The Reconfigurable Machine Tools (RMT) the sole of RMS, can perform variety of operations and can further be reconfigured to change its operational capabilities.
Kapil Kumar Goyal +2 more
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Multiple objective optimization applied to speech enhancement problem
2017 International Conference on Mathematics and Information Technology (ICMIT), 2017Enhancement of speech corrupted by broadband noise is subject of interest in many applications. For several years, the investigation of methods of denoising the vocal signal has yielded very satisfactory results, but certain problems and questions still remain. The term speech quality in speech enhancement is associated with clarity and intelligibility.
Said Ouznadji +2 more
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Multiple Objective Design Optimization
1996A common problem confronting a designer is selecting the best alternative from a set of feasible alternatives. In many situations this is not a difficult task as the best course of action is well defined, namely the alternative that minimizes (or maximizes) a well defined scalar-valued objective function.
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Penalized learning as multiple object optimization
Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94), 1994Learning algorithms guided by costs with a variety of penalties are discussed. Both unsupervised and supervised cases are addressed. The penalties are added and/or multiplied to the basic error measure. Since these extra penalties include combination parameters with respect to the basic error, the total problem belongs to a class of multiple object ...
Y. Matsuyama +3 more
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Optimization of multiple objective gate assignments
Transportation Research Part A: Policy and Practice, 2001Abstract This paper proposes a multiple objective model to help airport authorities to efficiently and effectively solve gate assignment problems. The model is formulated as a multiple objective zero–one integer program. To efficiently solve large-scale problems in practice, we used the weighting method, the column generation approach, the simplex ...
Shangyao Yan, Cheun-Ming Huo
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