Pages that link to "Item:Q2030591"
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The following pages link to Meta-analysis of metaheuristics: quantifying the effect of adaptiveness in adaptive large neighborhood search (Q2030591):
Displaying 10 items.
- Using group theory and transition matrices to study a class of metaheuristic neighborhoods (Q1600935) (← links)
- Learning to select operators in meta-heuristics: an integration of Q-learning into the iterated greedy algorithm for the permutation flowshop scheduling problem (Q2079447) (← links)
- The vehicle routing problem with load-dependent travel times for cargo bicycles (Q2116921) (← links)
- Across neighborhood search algorithm: a comprehensive analysis (Q2195424) (← links)
- The consistent electric-vehicle routing problem with backhauls and charging management (Q2672094) (← links)
- A survey of adaptive large neighborhood search algorithms and applications (Q2676311) (← links)
- A general deep reinforcement learning hyperheuristic framework for solving combinatorial optimization problems (Q6112785) (← links)
- Joint relocation and pricing in electric car-sharing systems (Q6554654) (← links)
- Home chemotherapy delivery: an integrated production scheduling and multi-trip vehicle routing problem (Q6572888) (← links)
- A practical and robust approach for solving the multi-compartment vehicle routing problem under demand uncertainty using machine learning (Q6599068) (← links)
