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This paper aims to model and solve two problems at the same time.
Constraint programming is used to model and solve complex combinatorial problems.
We formulate the problem as a set-packing model and solve it using branch-and-price.
Computational fluid dynamics (CFD) have been used to model and solve the ITPTR.
Cellular Automata (CA) has been used to model and solve problems in a wide variety of science fields (Wolfram 2002).
In recent years, neural networks have been applied to model and solve various problems in the engineering field [15 18].
Similar(23)
Elegbede and Adjallah (2003) proposed multi-objective availability allocation model and solved through Genetic Algorithm (GA).
The first part consists in establishing the theoretical model and solved by numerical simulation.
They formulated a multi-objective model and solved it using an evolutionary algorithm.
The model is developed based on a lumped-parameter model and solved using integral methods.
The problem has been formulated using a linear integer programming model and solved by the CPLEX.
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