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A mixed integer mathematical programming model is proposed for the problem.
The problem is formulated as mixed integer mathematical program with the objective to maximize coverage of a given field.
The model is formulated using mixed integer mathematical programming to minimize the number of assembly stations and cycle time.
This paper presents a comprehensive multi-objective mixed integer mathematical programming model which considers cell formation and production planning problems simultaneously.
A multi-region, multi-period, monthly time-step, mixed integer mathematical programming model is used to determine the costs to deliver a flow of biomass to a biorefinery.
The problem is formulated into a bi-objective mixed integer mathematical model in which several parameters are supposed to follow triangular possibility distributions.
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In this section, the mixed-integer mathematical model is defined and the fuzzy approach is described.
Seraj and Tavakkoli-Moghaddam (2009) proposed a TS method to solve a new bi-objective mixed-integer mathematical programming model for an OSSP.
In this regard, a network of suppliers, manufacturers and customers is considered for which a mixed-integer mathematical model is proposed.
A multi-commodity network flow mixed-integer mathematical program is proposed and applied to small-sized problem instances to validate the model.
This work develops a multi-objective, two-stage stochastic, non-linear, and mixed-integer mathematical model for relief pre-positioning in disaster management.
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