We presented a parallel tabu search (PTS) algorithm for the traveling salesman problem (TSP), which is NP-hard. To parallelize tabu search (TS) algorithm efficiently, the search space decomposition based on partition principle was used to balance the computing load, while exploitation in subspace had been boosted by an adaptive search strategy of intensification and diversification. Numerical results illustrated this algorithm was efficient and easy to implement. Key words: Parallel Tabu Search, Meta-heuristic, TS
We present a scalable parallel local search algorithm based on data parallelism. The concept of dist...
Abstract. In this paper, we propose an iterated tabu search (ITS) algorithm for the well-known combi...
Tabu Search (TS) is a meta-heuristic for solving combinatorial optimization problems. A review of ex...
AbstractTabu search is a general heuristic procedure for global optimization which has been successf...
A tabu search algorithm for the traveling salesman problem (TSP) is developed. The algorithm is base...
This paper presents a new approach for parallel tabu search based on adaptive parallelism. Adaptive ...
We analyze the possibility of parallelizing the Traveling Salesman Problem over the MapReduce archit...
In this paper we present a classification of parallel tabu search metaheuristics based, on the one h...
In this paper we present a classification of parallel tabu search metaheuristics based, on the one h...
The main purpose of this paper is to provide an overview of the ideas behind Tabu Search - one of th...
The Traveling Salesman Problem (TSP) and its allied problems like Vehicle Routing Problem (VRP) are ...
Reactive tabu search (RTS) is an improved method of tabu search (TS) and it dynamically adjusts tabu...
We present a scalable parallel local search algorithm based on data parallelism. The concept of dist...
We present a scalable parallel local search algorithm based on data parallelism. The concept of dist...
We present a scalable parallel local search algorithm based on data parallelism. The concept of dist...
We present a scalable parallel local search algorithm based on data parallelism. The concept of dist...
Abstract. In this paper, we propose an iterated tabu search (ITS) algorithm for the well-known combi...
Tabu Search (TS) is a meta-heuristic for solving combinatorial optimization problems. A review of ex...
AbstractTabu search is a general heuristic procedure for global optimization which has been successf...
A tabu search algorithm for the traveling salesman problem (TSP) is developed. The algorithm is base...
This paper presents a new approach for parallel tabu search based on adaptive parallelism. Adaptive ...
We analyze the possibility of parallelizing the Traveling Salesman Problem over the MapReduce archit...
In this paper we present a classification of parallel tabu search metaheuristics based, on the one h...
In this paper we present a classification of parallel tabu search metaheuristics based, on the one h...
The main purpose of this paper is to provide an overview of the ideas behind Tabu Search - one of th...
The Traveling Salesman Problem (TSP) and its allied problems like Vehicle Routing Problem (VRP) are ...
Reactive tabu search (RTS) is an improved method of tabu search (TS) and it dynamically adjusts tabu...
We present a scalable parallel local search algorithm based on data parallelism. The concept of dist...
We present a scalable parallel local search algorithm based on data parallelism. The concept of dist...
We present a scalable parallel local search algorithm based on data parallelism. The concept of dist...
We present a scalable parallel local search algorithm based on data parallelism. The concept of dist...
Abstract. In this paper, we propose an iterated tabu search (ITS) algorithm for the well-known combi...
Tabu Search (TS) is a meta-heuristic for solving combinatorial optimization problems. A review of ex...