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Optimal Placement of Fault Indicators using Adaptive Genetic Algorithm
(Ieee, 2017-01-01)
This work proposes the Adaptive Genetic Algorithm (AGA) to solve the problem of Fault Indicator (FI) placement in electric distribution systems to improve customer service quality. The AGA is developed to obtain the best ...
GPGPU Implementation of a Genetic Algorithm for Stereo Refinement
During the last decade, the general-purpose computing on graphics processing units Graphics (GPGPU) has turned out to be a useful tool for speeding up many scientific calculations. Computer vision is known to be one of the ...
Labeling association rule clustering through a genetic algorithm approach
(2014-01-01)
Among the post-processing association rule approaches, a promising one is clustering. When an association rule set is clustered, the user is provided with an improved presentation of the mined patterns, since he can have ...
Optimal Distribution Network Reconfiguration with Distributed Generation using a Genetic Algorithm
(2019-09-01)
This paper presents the develop of a computational tool for solve the distribution network reconfiguration problem considering the power losses minimization and distributed generation. The proposed tool satisfies the ...
Proposal and Comparative Study of Evolutionary Algorithms for Optimum Design of a Gear System
(Institute of Electrical and Electronics Engineers, 2019-12)
This paper proposes a novel metaheuristic framework using a Differential Evolution (DE) algorithm with the Non-dominated Sorting Genetic Algorithm-II (NSGA-II). Both algorithms are combined employing a collaborative strategy ...
Precise algorithm to solve location of facilities problem, complement with a genetic algorithmAlgoritmo exacto aplicado al problema de localización de planta física complementado con un algoritmo genético
(Pereira : Universidad Tecnológica de PereiraFacultad de Ciencias Básicas, 2011)
Hybrid Path Planning Algorithm Based on Membrane Pseudo-Bacterial Potential Field for Autonomous Mobile Robots
(2019-10-28)
A hybrid path planning algorithm based on membrane pseudo-bacterial potential field (MemPBPF) is proposed. Membrane-inspired algorithms can reach an evolutionary behavior based on biochemical processes to find the best ...
Um paradigma baseado em algoritmos genéticos para o aprendizado de regras Fuzzy
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC, 2004-05-24)
The construction of the knowledge base of fuzzy systems has been beneficited intensively from automatic methods that extract the necessary knowledge from data sets which represent examples of the problem. The evolutionary ...