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Mathematical programming has been often used to optimize municipal solid waste management and transfer systems.
While, a new double contaminant mathematical programming has shown a significant reduction of 39%, based on mixing rules of properties.
A full suite of techniques from mathematical programming has been devoted to designing efficient solutions for such networks, under a variety of connection protocols.
Much work on heat exchanger network synthesis (HENS) via mathematical programming has employed a stagewise superstructure with the assumption of isothermal mixing.
Mathematical programming has long been recognized as a promising direction to the efficient solution of design, synthesis and operation problems that can gain industry the competitive advantage required to survive in today's difficult economic environment.
While mathematical programming has not traditionally been applied to the motif discovery problem, our work demonstrates that it provides us a powerful alternative to successfully tackle a diverse set of applications.
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Various approaches, ranging from graphical pinch analysis to mathematical programming, have been developed by different researchers.
From then on, the central path-following methods for mathematical programming have become an active research subject.
Several mathematical frameworks, including mathematical programming, have been proposed to incorporate equity considerations into resource allocation in the public sector [ 25- 29].
Since mathematical based optimization programming has tendency of trapping in local minima for non-convex problems.
Next in this research, a three-objective mathematical programming model has been developed to maximize economic and social benefits and minimize negative environmental impacts, simultaneously.
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