In this paper we present a number of (meta-)heuristics for tackling the lock scheduling problem. The lock scheduling problem is introduced as the problem of minimising both the water usage of the lock and the waiting time of all the ships. The performance of several local search heuristics with the best improving criterion and the late acceptance criterion is examined. First parameter values for the late acceptance list length are determined. With these values all heuristics and criteria are applied to a large test set. From these experiments we conclude that the performance of the heuristics is increased by the late acceptance criterion.edition: 1status: publishe
The Port of Antwerp is the second-largest container port in Europe. The rising demand for container ...
hips must often pass one or more locks when entering or leaving a tide independent port. So do barge...
The Lock Scheduling Problem (LSP) is a combinatorial optimization problem that represents a real cha...
In the present contribution we will show that scheduling a lock having at least two identical chambe...
AbstractIn the present contribution we will show that scheduling a lock having at least two identica...
The lock planning problem aims at transferring a number of ships, which arrive within a certain time...
The present thesis introduces the lock scheduling problem and promising decompositions into sub prob...
Freight transport on inland waterways has great potential as a reliable, inexpensive and environment...
The present chapter focuses on locks and their impact on (inland) waterbound logistics. Examples of ...
Barges travelling on a network of inland waterways often have to pass several locks before reaching ...
We investigate the scheduling of series of consecutive locks. This setting occurs naturally along ca...
The present paper introduces an integrated approach to solving the generalized lock scheduling probl...
Inland waterways form a natural network infrastructure with capacity for more traffic. Transportatio...
Inland waterways form a natural network infrastructure with capacity for more traffic. Transportatio...
The present paper introduces an integrated approach to solving the generalized lock scheduling probl...
The Port of Antwerp is the second-largest container port in Europe. The rising demand for container ...
hips must often pass one or more locks when entering or leaving a tide independent port. So do barge...
The Lock Scheduling Problem (LSP) is a combinatorial optimization problem that represents a real cha...
In the present contribution we will show that scheduling a lock having at least two identical chambe...
AbstractIn the present contribution we will show that scheduling a lock having at least two identica...
The lock planning problem aims at transferring a number of ships, which arrive within a certain time...
The present thesis introduces the lock scheduling problem and promising decompositions into sub prob...
Freight transport on inland waterways has great potential as a reliable, inexpensive and environment...
The present chapter focuses on locks and their impact on (inland) waterbound logistics. Examples of ...
Barges travelling on a network of inland waterways often have to pass several locks before reaching ...
We investigate the scheduling of series of consecutive locks. This setting occurs naturally along ca...
The present paper introduces an integrated approach to solving the generalized lock scheduling probl...
Inland waterways form a natural network infrastructure with capacity for more traffic. Transportatio...
Inland waterways form a natural network infrastructure with capacity for more traffic. Transportatio...
The present paper introduces an integrated approach to solving the generalized lock scheduling probl...
The Port of Antwerp is the second-largest container port in Europe. The rising demand for container ...
hips must often pass one or more locks when entering or leaving a tide independent port. So do barge...
The Lock Scheduling Problem (LSP) is a combinatorial optimization problem that represents a real cha...