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A self-learning simulated annealing algorithm for global optimizations of electromagnetic devices
(Institute of Electrical and Electronics Engineers (IEEE), 2000-07-01)
A self-learning simulated annealing algorithm is developed by combining the characteristics of simulated annealing and domain elimination methods. The algorithm is validated by using a standard mathematical function and ...
A self-learning simulated annealing algorithm for global optimizations of electromagnetic devices
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Hybridizing a multi-objective simulated annealing algorithm with a multi-objective evolutionary algorithm to solve a multi-objective project scheduling problem
(Elsevier, 2012-11)
In this paper, a multi-objective project scheduling problem is addressed. This problem considers two conflicting, priority optimization objectives for project managers. One of these objectives is to minimize the project ...
Modelagem dos algorítmos genético simples e simulated annealing por cadeias de Markov
(Universidade Federal do Rio Grande do NorteBRUFRNPrograma de Pós-Graduação em Matemática Aplicada e EstatísticaProbabilidade e Estatística; Modelagem Matemática, 2010-04-16)
A self-learning simulated annealing algorithm for global optimizations of electromagnetic devices
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Metaheuristics for a crop rotation problem
(2014)
This paper presents a mathematical model adapted from literature for the crop rotation problem with demand constraints (CRP-D). The main aim of the present work is to study metaheuristics and their performance in a real ...