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This paper presents a multi objective mixed integer location/routing model that aims to minimize transportation cost and risks for large-scale hazardous waste management systems (HWMSs).
This paper presents a modified particle swarm optimization algorithm for handling a variety of single and multi objective mixed integer nonlinear optimization problems that have equality and inequality constraints.
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This paper develops a multi-objective Mixed Integer Programming model for a closed-loop network design problem.
Then, a multi-objective Mixed Integer Nonlinear Programming MINLP formulation is proposed to achieve an optimal trade-off between performance and structure simplicity.
To study the role of Sustainability in Supply Chain Network Design (SSCND), we propose a new Multi-objective Mixed Integer Linear Programming (MMILP) model, which captures significant decisions involved in designing or re-designing high performance, sustainable supply chains.
We study convex multi-objective Mixed Integer Non-Linear Programming problems (MINLPs), which are characterized by multiple objective functions and non linearities, features that appear in real-world applications.
The second tier allows for the inclusion of spatially explicit parameters of the territory and realizes a more detailed optimization of the supply chain using a multi-objective Mixed Integer Linear Programming framework.
This paper presents a Stochastic Multi-Objective Mixed Integer Non-Linear Problem (SMOMINLP) to redesign the sustainable supply chain to recycle certain products.
We formulate a multi-objective mixed-integer linear programming model (MOMILP) to solve this complex problem.
The flexible HEN synthesis problem is formulated as a multi-objective mixed-integer linear programming (MO-MILP).
A multi-objective mixed-integer nonlinear programming model is formulated and solved using the ɛ-constrained method.
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