Pages that link to "Item:Q1789471"
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The following pages link to Evaluation of the multiobjective ant colony algorithm performances on biobjective quadratic assignment problems (Q1789471):
Displaying 12 items.
- hCHAC: a family of MOACO algorithms for the resolution of the bi-criteria military unit pathfinding problem (Q336313) (← links)
- A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP (Q869157) (← links)
- A methodology to exploit profit allocation in logistics joint distribution network optimization (Q1666679) (← links)
- An improved discrete PSO for tugboat assignment problem under a hybrid scheduling rule in container terminal (Q1719017) (← links)
- An attractor-based multiobjective particle swarm optimization (Q1788271) (← links)
- Multi-objective ant colony optimization based on decomposition for bi-objective traveling salesman problems (Q1933783) (← links)
- Hybrid population-based algorithms for the bi-objective quadratic assignment problem (Q2506218) (← links)
- MOAQ and ant-Q algorithm for multiple objective optimization problems (Q2573012) (← links)
- CHAC, A MOACO algorithm for computation of bi-criteria military unit path in the battlefield: Presentation and first results (Q3497737) (← links)
- Studying the Influence of the Objective Balancing Parameter in the Performance of a Multi-Objective Ant Colony Optimization Algorithm (Q3578824) (← links)
- (Q3629649) (← links)
- Facility layout problem with QAP formulation under scenario-based uncertainty (Q5882273) (← links)
