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Last but not least, the high-performance solution methodologies for the FARED problem are worthy of further study.
In this section, solution methodologies for solving mathematical models are presented specifically supply chain network models which were proposed by recent researchers.
The results show that the genetic relaxations provide efficient and effective solution methodologies for the problem, when compared to the pure artificial intelligence technique of genetic search.
The aim of this paper is to provide a comprehensive survey of optimization models and solution methodologies for the routing of vehicles for plowing and snow disposal operations.
As the first of a two-part survey, this paper reviews optimization models and solution methodologies for reliability planning problems with fault considerations related to electric distribution operations.
The aim of this paper is to provide a comprehensive survey of optimization models and solution methodologies for the design of systems for snow disposal operations.
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A problem formulation and solution methodology for design optimization of laminated composite I-sections is presented.
We propose Genetic Algorithms (GAs) as the solution methodology for this problem.
A new iterative finite element solution methodology for free surface flow problems is presented.
The objective of this research is to present formulation and solution methodology for optimum design of thin-walled composite beams.
In this paper, a problem formulation and solution methodology for optimal design of thin-walled composite beams is presented.
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