Fuzzy Set Optimization
Mostrando 1-12 de 15 artigos, teses e dissertações.
-
1. A New Approach for Robust Design Optimization Based on the Concepts of Fuzzy Logic and Preference Function
ABSTRACT: In this study, an efficient methodology is proposed for robust design optimization by using preference function and fuzzy logic concepts. In this method, the experience of experts is used as an important source of information during the design optimization process. The case study in this research is wing design optimization of Boeing 747. Optimizat
J. Aerosp. Technol. Manag.. Publicado em: 19/07/2018
-
2. Optimizing short-term production plan using a portfolio optimization model
Abstract Short-term production plans are the basis for operational mine production schedules. They concentrate on making long-term mine plans operationally feasible. It ensures a steady flow of product for meeting blending targets. Due to the quality variation of material, blend optimization is an uncertainty based optimization problem. There are different a
REM, Int. Eng. J.. Publicado em: 2017-03
-
3. Application of an iterative method and an evolutionary algorithm in fuzzy optimization
This work develops two approaches based on the fuzzy set theory to solve a class of fuzzy mathematical optimization problems with uncertainties in the objective function and in the set of constraints. The first approach is an adaptation of an iterative method that obtains cut levels and later maximizes the membership function of fuzzy decision making using t
Pesqui. Oper.. Publicado em: 28/06/2012
-
4. An overview of flexibility and generalized uncertainty in optimization
Two new powerful mathematical languages, fuzzy set theory and possibility theory, have led to two optimization types that explicitly incorporate data whose values are not real-valued nor probabilistic: 1) flexible optimization and 2) optimization under generalized uncertainty. Our aim is to make clear what these two types are, make distinctions, and show how
Comput. Appl. Math.. Publicado em: 2012
-
5. Geração genética multiobjetivo de sistemas fuzzy usando a abordagem iterativa
O objetivo deste trabalho é estudar, expandir e avaliar o uso dos algoritmos genéticos multiobjetivo e a abordagem iterativa na geração de sistemas fuzzy, mais especificamente para sistemas fuzzy baseados em regras, tanto na geração automática da base de regras fuzzy a partir de conjuntos de dados, como a otimização dos conjuntos fuzzy. Esse trabalh
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 28/06/2011
-
6. Um estudo sobre métodos de Kernel para classificação e agrupamento de dados
The learning machines project involves modelling a set of samples based on the mapping performance of the input-output pairs. The group of samples submitted to training provides information for determining the parameters of the model. And the validation and/or test group evaluates the performance of the classifier on its generalization ability. However, the
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/08/2009
-
7. Programação multi-objetivo fuzzy / Fuzzy multiobjective programming
O objetivo deste trabalho é buscar, estudar e estabelecer as condições de otimali-dade para resolver problemas de programação multi-objetivo irrestritos e restritos em um ambiente impreciso. Essas imprecisões estão presentes nos problemas da vida real e existem muitas formas de tratá-las, mas nesse trabalho será usado a teoria de conjuntos nebulosos
Publicado em: 2009
-
8. Fuzzy logic and particle swarm optimization for reactive power and voltage control / Logica nebulosa e tecnica de otimização particle swarm aplicados ao controle de tensão e de potencia reativa
Due to the growing electrical power demand and the lag of transmission system infrastruc ture, the operation of transmission systems approaches to its limits and increases the complexity of the system operation. ln this context, in order to satisfy the more rigid operating conditions, managing voltage profile and power flow in a more effective way becomes ve
Publicado em: 2008
-
9. Nuvem de partículas aplicada à seleção de atributos
Abstract: The particle swarm optimization (PSO) algorithm is a recently developed metaheuristic technique and belongs to the category of swarm intelligence techniques. The swarm intelligence concepts are inspired by the social behavior of flocking animals such as swarms of birds, ants and fish school. PSO is a population based algorithm that exploits a popul
Publicado em: 2008
-
10. Aplications of genetic and fuzzy metaheusistic in the ant colony system for the traveling salesman problem / Aplicações de meta-heuristica genetica e fuzzy no sistema de colonia de formigas para o problema do caixeiro viajante
Amongst the several existing heuristical and accurate techniques for the resolution of combinatorial problems, the population algorithms ant colony optimization and genetic have been detached due to their good performance. In special the ant colony algorithms are considered currently as one of the techniques most succeeded for the resolution of some combinat
Publicado em: 2007
-
11. Decision making strategies for real time trains movement planning / Estrategias de decisão para o planejamento de circulação de trens em tempo real
Railways plays a major role in freight and passenger transportation in the whole world. The Brazilian railway system has suffered a process of abandon and deterioration from 1960 to 1990. Since 1990 the privatization of the national railways brought new investments and in the last years the demand for railway transportation has increased significantly. Railw
Publicado em: 2007
-
12. Modelling and optimization processes for real time implementation / Modelagem e otimização de processos para implmentação em tempo real
Algoritmos de controle e otimização podem ser empregados separadamente ou podem ser integrados segundo uma estratégia hierárquica de Integração em Tempo Real para resolver problemas de otimização e controle. A abordagem da Integração do Controle e da Otimização em Tempo Real pode ser feita basicamente através de estratégias conhecidas como otim
Publicado em: 2007