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Metaheuristics for the tabu clustered traveling salesman problem

Zhang, Tianjiao; Ke, Liangjun; Li, Jing; Li, Jisheng; … - In: Computers & operations research : and their … 89 (2018), pp. 1-12

Persistent link: https://www.econbiz.de/10011754985

Improving collection flows in a public postal network with contractor's obligation considerations

Niroomand, Iman; Nsakanda, Aaron Luntala - In: International journal of production economics 198 (2018), pp. 79-92

Persistent link: https://www.econbiz.de/10011821063

An improved construction approach using ant colony optimization for solving the dynamic facility layout problem

Zouein, Pierrette P.; Kattan, Sarah - In: Journal of the Operational Research Society 73 (2022) 7, pp. 1517-1531

Persistent link: https://www.econbiz.de/10013373031

Metaheuristic Algorithms Applied to Bioenergy Supply Chain Problems: Theory, Review, Challenges, and Future

Castillo-Villar, Krystel K. - In: Energies 7 (2014) 11, pp. 7640-7672

) frequently fail to find optimal solutions for non-convex and/or large-scale models whereas metaheuristics are efficient … by studying and analyzing the application of metaheuristics to solve bioenergy supply chain models as well as the … exclusive challenges of the mathematical problems applied in the bioenergy supply chain field. The reviewed metaheuristics …

Persistent link: https://www.econbiz.de/10011075176

Boosting ant colony optimization via solution prediction and machine learning

Sun, Yuan; Wang, Sheng; Shen, Yunzhuang; Li, Xiaodong; … - In: Computers & operations research : and their … 143 (2022), pp. 1-16

Persistent link: https://www.econbiz.de/10013343259

Application of Intelligent Water Drops Algorithm in Reservoir Operation

Dariane, A.; Sarani, S. - In: Water Resources Management 27 (2013) 14, pp. 4827-4843

Optimum reservoir operation is a challenging problem in water resources systems. In this paper, Intelligent Water Drops (IWD) algorithm is applied in a reservoir operation problem. IWD is a population based algorithm and is initially proposed for solving combinatorial problems. The algorithm...

Persistent link: https://www.econbiz.de/10010794258

Simultaneous dock assignment and sequencing of inbound trucks under a fixed outbound truck schedule in multi-door cross docking operations

Liao, T.W.; Egbelu, P.J.; Chang, P.C. - In: International Journal of Production Economics 141 (2013) 1, pp. 212-229

This paper studies the simultaneous dock assignment and sequencing of inbound trucks for a multi-door cross docking operation with the objective to minimize total weighted tardiness, under a fixed outbound truck departure schedule. The problem is newly formulated and solved by six different...

Persistent link: https://www.econbiz.de/10010594376

Multi-population interactive coevolutionary algorithm for flexible job shop scheduling problems

Xing, Li-Ning; Chen, Ying-Wu; Yang, Ke-Wei - In: Computational Optimization and Applications 48 (2011) 1, pp. 139-155

Persistent link: https://www.econbiz.de/10008925527

An Incorporation of the Fuzzy Greedy Search Heuristic With Evolutionary Approaches for Combinatorial Optimization in Operations Management

Sheibani, Kaveh - In: International Journal of Applied Evolutionary … 8 (2017) 2, pp. 58-72

Although greedy algorithms are important, nowadays it is well assumed that the solutions they obtain can be used as a starting point for more sophisticated methods. This paper describes an evolutionary approach which is based on genetic algorithms (GA). A constructive heuristic, so-called fuzzy...

Persistent link: https://www.econbiz.de/10012042715

A review of simheuristics: Extending metaheuristics to deal with stochastic combinatorial optimization problems

Juan, Angel A.; Faulin, Javier; Grasman, Scott E.; … - In: Operations Research Perspectives 2 (2015), pp. 62-72

the use of metaheuristic algorithms. Metaheuristics benefit from different random-search and parallelization paradigms … that allows for extending metaheuristics through simulation to solve stochastic COPs. ‘Simheuristics' allow modelers for …-driven framework. These optimization-driven algorithms rely on the fact that efficient metaheuristics already exist for the …

Persistent link: https://www.econbiz.de/10011825912