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In recent years, generalized semi-infinite programming problems became an active research topic in mathematical programming due to its extensive applications in many fields such as reverse Chebyshev approximate, robust optimization, minimax problems, design centering and disjunctive programming: see [1 3].
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Moreover, the researchers can apply the efficient proposed approach to solve the fully fuzzy mathematical programming models due to its computational advantages.
Designing an efficient network using mathematical programming is not a trivial task, due to the fact that the design equations involved are highly non-linear.
Specifically, the multi-agent system is suitable for SCs that are either driven by pull strategies or operate under uncertain environments, in which the mathematical programming approaches are likely to be inferior due to the high computational effort required.
TIGER uses a custom Matlab class CMPI Commonn Mathematical Programming Interface) to create and solve mathematical programming problems.
These perspectives can be translated into mathematical programming problems that are very hard to solve due to their inherently high combinatorial nature combined to the nonlinearities associated to congestion.
We extended our formulation to an uncertain environment, due to receiving demands, by fuzzy mathematical programming.
However, economies of scale (EOS) may affect the cost coefficients in a mathematical programming problem and make the relevant objective function nonlinear; difficulties arise due to system nonlinearities when these methods are applied to MSW management problems.
The water distribution network design problem poses challenges for optimization due to the tightly constrained nature of the typical mathematical programming formulation.
Mathematical Programming.
Mathematical Programming Computation.
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