Pages that link to "Item:Q323308"
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The following pages link to A multi-agent based cooperative approach to scheduling and routing (Q323308):
Displaying 14 items.
- Multi-criteria scheduling: an agent-based approach for expert knowledge integration (Q398857) (← links)
- Learnheuristics: hybridizing metaheuristics with machine learning for optimization with dynamic inputs (Q521579) (← links)
- Coalition-based metaheuristic: a self-adaptive metaheuristic using reinforcement learning and mimetism (Q604940) (← links)
- A multiagent society for military transportation scheduling (Q1585916) (← links)
- On the use of learnheuristics in vehicle routing optimization problems with dynamic inputs (Q1712070) (← links)
- Metaheuristics ``In the large'' (Q2242238) (← links)
- Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: a state-of-the-art (Q2242290) (← links)
- Two Heterarchical Multiagent Approaches for FMS Dynamic Scheduling (Q4466844) (← links)
- (Q4484161) (← links)
- (Q4708239) (← links)
- Does Adding More Agents Make a Difference? A Case Study of Cover Time for the Rotor-Router (Q5167868) (← links)
- A biased‐randomized algorithm for redistribution of perishable food inventories in supermarket chains (Q6066639) (← links)
- Agile optimization of a two‐echelon vehicle routing problem with pickup and delivery (Q6070418) (← links)
- A reactive simheuristic using online data for a real‐life inventory routing problem with stochastic demands (Q6090498) (← links)
