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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 ...
A multi-objective memetic algorithm for the job-shop scheduling problem
(Springer, 2012-04-25)
Planning means, in the realm of production activities, to design, coordinate, manage and control all the operations involved in the production system. Many MOPs (Multi-Objective Optimization Problems) are generated in ...
Explicit multiobjective evolutionary algorithms for flow shop scheduling with missing operations
(Springer, 2021-12-28)
The impact of Industry 4.0 on production systems has significantly enhanced personalized production services for products customization, implying that production processes end up being customized as well. In this scenario, ...
Project scheduling: A multi-objective evolutionary algorithm that optimizes the effectiveness of human resources and the project makespan
(Taylor & Francis, 2012-04)
In this article, the project scheduling problem is addressed in order to assist project managers at the early stage of scheduling. Thus, as part of the problem, two priority optimization objectives for managers at that ...
Multi Objective Evolutionary Algorithm Applied to the Optimal Power Flow Problem
(Institute of Electrical and Electronics Engineers (IEEE), 2010-06-01)
This work presents the application of a multiobjective evolutionary algorithm (MOEA) for optimal power flow (OPF) solution. The OPF is modeled as a constrained nonlinear optimization problem, non-convex of large-scale, ...
Geração de conjuntos consistentes de regras para classificação multirrótulo com algoritmo evolutivo multiobjetivo
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2020-06-25)
Multi-label classification a machine learning task whose objective is to generate models capable of learning relationships between descriptive characteristics of objects and the sets of classes to which such objects belong. ...
Multi Objective Evolutionary Algorithm Applied to the Optimal Power Flow Problem
(Institute of Electrical and Electronics Engineers (IEEE), 2014)