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Uso de operações SIMD em uma biblioteca de algoritmos bio-inspirados
(Universidade Federal do PampaUNIPAMPABrasilCampus Alegrete, 2020)
Artificial bee colony and particle swarm optimization for the estimation of nonlinear regression parametersColonia de abejas artificiales y optimización por enjambre de partículas para la estimación de parámetros de regresión no lineal
(Universidad de Costa Rica, Centro de Investigación en Matemática Pura y Aplicada (CIMPA), 2014)
Parameter identification of solar cells using artificial bee colony optimization
(2014)
In order to improve the performance of solar energy systems, accurate modeling of current vs. voltage (I-V) characteristics of solar cells has attracted the attention of various researches. The main drawback in accurate ...
Image Segmentation Using Artificial Bee Colony Optimization
(2013)
This chapter explores the use of the Artificial Bee Colony (ABC) algorithm to compute pixel classification for image segmentation. ABC is a heuristic algorithm motivated by the intelligent behaviour of honey-bees which has ...
Aplicação do algoritmo Artificial Bee Colony na otimização inversa de cristais fotônicos bidimensionais
(Universidade Estadual Paulista (Unesp), 2020-07-23)
Neste trabalho, apresenta-se uma nova proposta de aplicação do algoritmo Artificial Bee Colony (ABC) em um problema eletromagnético para otimização de estruturas cristalinas fotônicas bidimensionais em arranjo triangular, ...
Transmission Expansion Planning Considering Power Losses, Expansion of Substations and Uncertainty in Fuel Price Using Discrete Artificial Bee Colony Algorithm
(2021-01-01)
Transmission expansion planning (TEP) is an important part of power system expansion planning. In TEP, optimal number of new transmission lines and their installation time and place are determined in an economic way. ...
Um algoritmo inspirado em colônias de abelhas para otimização numérica com restrições
(Universidade Federal de Juiz de Fora (UFJF)BrasilICE – Instituto de Ciências ExatasPrograma de Pós-graduação em Modelagem ComputacionalUFJF, 2017)
Energy enhancement using Multiobjective Ant colony optimization with Double Q learning algorithm for IoT based cognitive radio networks
Internet of Things (IoT) is the efficient wireless communication in the modern era, energy efficiency is the primary issue that focuses mainly on the Cognitive network. Most of the CR networks are focusing on battery ...