M
M.M. Lotfi
Researcher at Yazd University
Publications - 40
Citations - 470
M.M. Lotfi is an academic researcher from Yazd University. The author has contributed to research in topics: Scheduling (production processes) & Computer science. The author has an hindex of 10, co-authored 36 publications receiving 310 citations. Previous affiliations of M.M. Lotfi include University of Tehran.
Papers
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Mass casualty management in disaster scene : a systematic review of OR&MS research in humanitarian operations
TL;DR: This survey focuses on casualty management (CM), which is one of the actions taken in the response phase of a disaster, and categorizes the existing research papers and case studies in each of these steps to suggest future directions for academics and practitioners.
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A genetic algorithm using priority-based encoding with new operators for fixed charge transportation problems
TL;DR: Computational results show that the proposed pb-GA gives better results than the recently used spanning tree-based genetic algorithm (st-GA) both in terms of the solution quality and computation time, especially for medium- and large-sized problems.
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A modified NSGA-II solution for a new multi-objective hub maximal covering problem under uncertain shipments
TL;DR: In this paper, a non-linear multi-objective formula-tions for single and multiple allocation hub maximal covering problems as well as the linearized versions are proposed, which substantially mitigate the complexity of the existing models due to the fewer number of constraints and variables.
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Possibilistic programming approach for mid-term electric power planning in deregulated markets
M.M. Lotfi,S.F. Ghaderi +1 more
TL;DR: In this article, a possibilistic price-based mixed integer linear programming approach is proposed to solve the considered problem of mid-term electric power planning under uncertainty for a generation company (GenCo) in a deregulated market having some thermal, hydro and wind power plants.
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Robust Platelet Logistics Planning in Disaster Relief Operations Under Uncertainty: a Coordinated Approach
TL;DR: A bi-objective location-allocation robust possibilistic programming model for designing a two-layer coordinated organization strategy for multi-type blood-derived platelets under demand uncertainty is presented and computational results are reported to show the applicability of the proposed model.