Multiobjective Genetic Algorithms
Mostrando 37-41 de 41 artigos, teses e dissertações.
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37. Rehabilitation analysis of the water distribution networks by multiobjective genetic algorithms / Análise de reabilitação de redes de distribuição de água para abastecimento via algoritmos genéticos multiobjetivo
Recognizing the importance of water as a limited natural resource and considering the prospect of continued population growth, it is important to investigate water distribution systems which are common to all urban infrastructures. Planning of the water distribution network rehabilitation becomes additionally important given economic constraints and operatio
Publicado em: 2004
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38. Extração de regras operacionais ótimas de sistemas de distrubuição de água através de algoritmos genéticos multiobjetivo e aprendizado de máquina / Extraction of optimal operation rules of the water distribution systems using multiobjective genetic algorithms and machine learning
The efficient operation of a system is a fundamental tool to postpone the systems service life as much as possible, thus ensuring a good service to the consumer while keeping electrical energy and maintenance costs at acceptable levels. Efficient operation requires knowledge of the system, for this knowledge, supported by tools such as models for hydraulic
Publicado em: 2004
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39. Multi-objective genetic algorithms applied to protein sequence alignment. / Aplicação de algoritmos genéricos multi-objetivo para alinhamento de seqüências biológicas.
The Biological Sequence Alignment is a basic operation in Bioinformatics since it serves as a basis for other processes, i.e. determination of the protein s three-dimensional structure. Due to the large amount of data involved, mathematical and computational methods have been used to solve this problem. Traditionally, the Biological Alignment Sequence Proble
Publicado em: 2003
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40. Model Selection of RBF Networks Via Genetic Algorithms
One of the main obstacles to the widespread use of artificial neural networks is the difficulty of adequately defining values for their free parameters. This work discusses how Radial Basis Function (RBF) neural networks can have their free parameters defined by Genetic Algorithms (GAs). For such, it firstly presents an overall view of the problems involved
Publicado em: 2003
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41. Heuristicas e metaheuristicas para otimização combinatoria multiobjetivo
This work presents contributions to the development of heuristic methods for multiobjective combinatorial problems. The goal of the proposed methods is to generate in a reazonable time a set of approximately Pareto-optimal solutions, allowing the decision maker to choose a solution of interest. The methods are tested on the flowshop scheduling problem and th
Publicado em: 2002