Dimensionality reduction techniques for global optimization by Otemissov, A

“…Such functions can often be found in applications, for example, in hyper-parameter optimization for neural networks, heuristic algorithms for combinatorial optimization problems and complex engineering simulations. …”

Modelling a routing-location-inventory problem in the sustainable poultry and livestock medicine supply chain under uncertainty, considering discount by Sara Zeinodin zadeh, Magsoud Amiri, Laya Olfat, Mir Saman Pishvaee

“…Robust optimization has been applied to cope with uncertainty. Two meta-heuristic algorithms have been applied to solve the model which has been explained in detail in this paper.Findings: A robust counterpart of the multi-objective model presented in this paper was solved by epsilon constraint in CPLEX and by two metaheuristic algorithms, NSGA-II and PBMOSA in the larger size model. …”
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Integrated production and distribution scheduling in a dental prosthetics supply chain under additive manufacturing environment by S.Ali Torabi, Yasin Heidari

“…Several avenues for future research include considering uncertainty in input data and developing efficient meta-heuristic algorithms for solving large-scale instances.…”
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Network functional compression by Feizi, Soheil

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Optimization of Discrete Facility Layout with a Candidate Grouping Approach by Aliasghar Miri, Hamideh Razavi

“…For greater number of workstations, heuristic algorithms can be developed.     Table 1. Test problems solved by CPLEX Time(sec) Opt Slution Candidate Group Quantity Station Quantity P. 461.5 451 2 11 P1 2.92 1165 1 6 P2 940.5 1217 2 9 P3 3943.8 1327.75 2 11 P4 25380.52 1641 2 13 P5 31803 1467.8 3 14 P6 40000 1850* 4 15 P7   References Barbosa-Povoa, A. …”
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A model for the integration of production-distribution levels in the supply chain of non-perishable materials by considering intermediate warehouses by Kayvan Ahmadi, Sohrab Abdollahzadeh

“…For validation, a case study was performed and genetic Meta heuristic algorithms were used for solving the problem. The results of the solved model showed that Decision making integrated is better than the case that sections are decided separately. …”
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Undesirable Facility Location under Uncertainty: Modeling and Algorithm by Parisima Pakravan, Javad Behnamian

“…Sixteen types of problem in large dimensions are solved with genetic and Simulated annealing meta-heuristic algorithms, and the stopping time of both algorithms is 1 hour. …”
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A Multi-response Simulation Optimization Based Model for Operator Allocation and Job Dispatching Rule in a Cellular Manufacturing System by Alireza Shahraki, Omid Farasat

“…They have been optimized cellular manufacturing line problems by using mathematical modellings and meta-heuristic algorithms, but it should be noted that assumptions such as the uncertainty of problem parameters, machines’ breakdown and variable demand are among the existing and dominant conditions in cellular manufacturing problems, which, by taking them, can bring the problem as close as possible to real-world conditions, and, on the other hand, research results become more practical. …”
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