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Research trends in combinatorial optimization

Weinand, Jann Michael; Sörensen, Kenneth; San Segundo, … - In: International Transactions in Operational Research 29 (2021) 2, pp. 667-705

or enhancement of metaheuristics like genetic algorithms. The increasingly problem‐oriented studies deal particularly …

Persistent link: https://www.econbiz.de/10014485892

Stochastic mixed model sequencing with multiple stations using reinforcement learning and probability quantiles

Brammer, Janis; Lutz, Bernhard; Neumann, Dirk - In: OR Spectrum 44 (2021) 1, pp. 29-56

In this study, we propose a reinforcement learning (RL) approach for minimizing the number of work overload situations in the mixed model sequencing (MMS) problem with stochastic processing times. The learning environment simulates stochastic processing times and penalizes work overloads with...

Persistent link: https://www.econbiz.de/10014497560

Metaheuristics for the risk-constrained cash-in-transit vehicle routing problem

Talarico, Luca; Sörensen, Kenneth; Springnael, Johan - In: European journal of operational research : EJOR 244 (2015) 2, pp. 457-470

Persistent link: https://www.econbiz.de/10010531899

Decomposition based hybrid metaheuristics

Raidl, Günther - In: European journal of operational research : EJOR 244 (2015) 1, pp. 66-76

Persistent link: https://www.econbiz.de/10010531983

MaxMinMin p-dispersion problem : a variable neighborhood search approach

Saboonchi, Behnaz; Hansen, Pierre; Perron, Sylvain - In: Computers & operations research : and their … 52 (2014), pp. 251-259

Persistent link: https://www.econbiz.de/10011281731

Combining intensification and diversification strategies in VNS : an application to the Vertex Separation problem

Sánchez-Oro, Jesús; Pantrigo, Juan José; Duarte, Abraham - In: Computers & operations research : and their … 52 (2014), pp. 209-219

Persistent link: https://www.econbiz.de/10011281737

A generalized consistent neighborhood search for satellite range scheduling problems

Zufferey, Nicolas; Vasquez, Michel - In: RAIRO / Operations research 49 (2015) 1, pp. 99-121

Persistent link: https://www.econbiz.de/10011308465

Improving the quality of heuristic solutions for the capacitated vertex p-center problem through iterated greedy local search with variable neighborhood descent

Quevedo-Orozco, Dagoberto R.; Ríos-Mercado, Roger Z. - In: Computers & operations research : and their … 62 (2015), pp. 133-144

Persistent link: https://www.econbiz.de/10011333998

A clustering search metaheuristic for the point-feature cartographic label placement problem

Rabello, Rômulo Louzada; Mauri, Geraldo Regis; … - In: European journal of operational research : EJOR 234 (2014) 3, pp. 802-808

Persistent link: https://www.econbiz.de/10010360414

Adaptive perturbed neighbourhood search for the expanding capacity multiple-choice knapsack problem

Sbihi, A. - In: Journal of the Operational Research Society : OR 64 (2013) 10, pp. 1461-1473

Persistent link: https://www.econbiz.de/10010197966