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An optimization algorithm for the multi-objective flexible fuzzy job shop environment with partial flexibility based on adaptive teaching–learning considering fuzzy processing times
(Cartagena de Indias, 2023)
Production scheduling is a critical factor to enhancing productivity in manufacturing engineering and combinatorial optimization research. The complexity and dynamic nature of production systems necessitates innovative ...
Algoritmo adaptativo para el reconocimiento facial tolerante a gestigulaciones, pose y ruido de escena
(2018-09-06)
RESUMEN: Los filtros de correlación han sido usados en los utlimos años como una alternativa a los métodos basados en características locales para resolver problemas de reconocimiento de patrones. Comúnmente, los filtros ...
Global bacteria optimization meta-heuristic: performance analysis and application to shop scheduling problems
(2012)
A large number of real-life optimization problems in economics and business are complex and difficult to solve. Hence, using approximate algorithms is a very good alternative to solve this class of problems. Meta-heuristics ...
Multi-objective evolutionary algorithm for single and multiple fault service restoration in large-scale distribution systems
(ElsevierAmsterdam, 2014-05)
Network reconfiguration for service restoration (SR) in distribution systems is a complex optimization
problem. For large-scale distribution systems, it is computationally hard to find adequate SR plans in
real time since ...
Hybridizing metaheuristics for multi-and many-objective problems in a multi-agent architecture
(Universidade Federal do Rio Grande do NorteBrasilUFRNPROGRAMA DE PÓS-GRADUAÇÃO EM SISTEMAS E COMPUTAÇÃO, 2022-06-15)
Hybrid algorithms combine the best features of individual metaheuristics. They have
proven to find high-quality solutions for multi-objective optimization problems. Architec-
tures provide generic functionalities and ...
Modelo de optimización multiobjetivo para el algoritmo evolutivo HAEA (Hybrid Adaptive Evolutionary Algorithm)
(Bogotá - Ingeniería - Maestría en Ingeniería - Ingeniería de Sistemas y ComputaciónUniversidad Nacional de Colombia - Sede Bogotá, 2020-02-14)
This work introduces a new distributed multi-objective evolutionary algorithm which is an extension of the proposed Hybrid Adaptive Evolutionary Algorithm (HAEA). This new algorithm, called NSHAEA, defines a fitness function ...
Uma colônia de formigas para o caminho mais curto multiobjetivo
(Universidade Federal do Rio Grande do NorteBRUFRNPrograma de Pós-Graduação em Sistemas e ComputaçãoCiência da Computação, 2011-02-07)
Multi-objective combinatorial optimization problems have peculiar characteristics that
require optimization methods to adapt for this context. Since many of these problems are
NP-Hard, the use of metaheuristics has grown ...
A hybrid multi-objective bayesian estimation of distribution algorithm
(Universidade Tecnológica Federal do ParanáCuritibaBrasilPrograma de Pós-Graduação em Engenharia Elétrica e Informática IndustrialUTFPR, 2017-12-11)
Nowadays, a number of metaheuristics have been developed for dealing with multiobjective optimization problems. Estimation of distribution algorithms (EDAs) are a special class of metaheuristics that explore the decision ...