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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

The late acceptance Hill-Climbing heuristic

Burke, Edmund K.; Bykov, Yuri - In: European journal of operational research : EJOR 258 (2017) 1, pp. 70-78

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An adaptive iterated local search for the mixed capacitated gernal routing problem

Dell'Amico, Mauro; Díaz Díaz, José Carlos; Hasle, Geir; … - In: Transportation science : a journal of the Institute for … 50 (2016) 4, pp. 1223-1238

Persistent link: https://www.econbiz.de/10011617707

The vehicle routing problem with heterogeneous locker boxes

Grabenschweiger, Jasmin; Doerner, Karl Franz; Hartl, … - In: Central European journal of operations research 29 (2021) 1, pp. 113-142

Persistent link: https://www.econbiz.de/10012427525

A metaheuristic algorithm and structured analysis for the Line-haul Feeder Vehicle Routing Problem with Time Windows

Brandstätter, Christian - In: Central European journal of operations research 29 (2021) 1, pp. 247-289

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Solving the maximum edge disjoint path problem using a modified Lagrangian particle swarm optimisation hybrid

Weiner, Jake; Ernst, Andreas; Li, Xiaodong; Sun, Yuan; … - In: European journal of operational research : EJOR 293 (2021) 3, pp. 847-862

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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

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/10011822486

Adaptive Large Neighborhood Search on the Graphics Processing Unit

Bach, Lukas; Hasle, Geir; Schulz, Christian - In: European journal of operational research : EJOR 275 (2019) 1, pp. 53-66

Persistent link: https://www.econbiz.de/10011993220

Knowledge-guided local search for the vehicle routing problem

Arnold, Florian; Sörensen, Kenneth - In: Computers & operations research : and their … 105 (2019), pp. 32-46

Persistent link: https://www.econbiz.de/10011997049