Abstract. A nonsystematic iterative search algorithm for hard or over-constrained problems is proposed. This linear time complexity algorithm seeks a (partial) assignment of the problem variables. One step of the algorithm is a special incomplete version of chronological backtracking with constraint propagation. Subsequent searches try to improve the last computed partial assignment. This is done by developing variable and value heuristics based on the results of previous iterations. The algorithm was applied to solve random problems and a large scale timetabling prob-lem from Purdue University.
This paper compares some of the most efficient heuristic methods for the quadratic assignment proble...
Abstract Designing a search heuristic for constraint programming that is reliable across problem dom...
This paper shows that repeated application of a greedy approximation algorithm on some suitably sele...
Abstract—Many researchers in Artificial Intelligence seek for new algorithms to reduce the amount of...
This paper introduces a problem in which the state of a system needs to be determined through costly...
Abstract. In many scheduling and resource assignment problems, it is necessary to find a solution wh...
This paper presents an artificial intelligence based heuristic search algorithm for resource-constra...
AbstractLabeling is crucial in the performance of solving timetabling problems with constraint progr...
A Variable Neighborhood Search algorithm is proposed for solving a task allocation problem whose mai...
This paper presents a heuristic approach to solve the Generalized Assignment Problem (GAP) which is ...
An adaptation of taboo search to the quadratic assignment problem is discussed in this paper. This a...
Abstract Many real-life problems are dynamic, with changes in the problem definition occurring after...
Abstract. Constraints have played a central role in cp because they capture key substructures of a p...
We are interested in the complexity of a problem involving linear $0 − 1$ assignments. We describe t...
A Variable Neighborhood Search algorithm that employs new neighbourhoods is proposed for solving a t...
This paper compares some of the most efficient heuristic methods for the quadratic assignment proble...
Abstract Designing a search heuristic for constraint programming that is reliable across problem dom...
This paper shows that repeated application of a greedy approximation algorithm on some suitably sele...
Abstract—Many researchers in Artificial Intelligence seek for new algorithms to reduce the amount of...
This paper introduces a problem in which the state of a system needs to be determined through costly...
Abstract. In many scheduling and resource assignment problems, it is necessary to find a solution wh...
This paper presents an artificial intelligence based heuristic search algorithm for resource-constra...
AbstractLabeling is crucial in the performance of solving timetabling problems with constraint progr...
A Variable Neighborhood Search algorithm is proposed for solving a task allocation problem whose mai...
This paper presents a heuristic approach to solve the Generalized Assignment Problem (GAP) which is ...
An adaptation of taboo search to the quadratic assignment problem is discussed in this paper. This a...
Abstract Many real-life problems are dynamic, with changes in the problem definition occurring after...
Abstract. Constraints have played a central role in cp because they capture key substructures of a p...
We are interested in the complexity of a problem involving linear $0 − 1$ assignments. We describe t...
A Variable Neighborhood Search algorithm that employs new neighbourhoods is proposed for solving a t...
This paper compares some of the most efficient heuristic methods for the quadratic assignment proble...
Abstract Designing a search heuristic for constraint programming that is reliable across problem dom...
This paper shows that repeated application of a greedy approximation algorithm on some suitably sele...