A tabu search algorithm for the traveling salesman problem (TSP) is developed. The algorithm is based on the well known 2-opt move which is implemented in parallel on the connection machine CM-2. This involves decomposing the evaluation of the whole 2-opt neighborhood into small independent steps that can be executed in parallel by different processors. The implementation is efficient and highly scalable. Implementation details and results of computation for some TSPs from the literature are presented
We analyze the possibility of parallelizing the Traveling Salesman Problem over the MapReduce archit...
Abstract — In this paper, developing a new local search approach based on 2-Opt operator and its imp...
Large scale combinatorial problems such as the network expansion problem present an amazingly high n...
We presented a parallel tabu search (PTS) algorithm for the traveling salesman problem (TSP), which ...
AbstractTabu search is a general heuristic procedure for global optimization which has been successf...
Summarization: In this paper we discuss how one of the most famous local optimization algorithms for...
The Traveling Salesman Problem (TSP) and its allied problems like Vehicle Routing Problem (VRP) are ...
The main purpose of this paper is to provide an overview of the ideas behind Tabu Search - one of th...
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...
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...
We analyze the possibility of parallelizing the Traveling Salesman Problem over the MapReduce archit...
Abstract — In this paper, developing a new local search approach based on 2-Opt operator and its imp...
Large scale combinatorial problems such as the network expansion problem present an amazingly high n...
We presented a parallel tabu search (PTS) algorithm for the traveling salesman problem (TSP), which ...
AbstractTabu search is a general heuristic procedure for global optimization which has been successf...
Summarization: In this paper we discuss how one of the most famous local optimization algorithms for...
The Traveling Salesman Problem (TSP) and its allied problems like Vehicle Routing Problem (VRP) are ...
The main purpose of this paper is to provide an overview of the ideas behind Tabu Search - one of th...
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...
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...
We analyze the possibility of parallelizing the Traveling Salesman Problem over the MapReduce archit...
Abstract — In this paper, developing a new local search approach based on 2-Opt operator and its imp...
Large scale combinatorial problems such as the network expansion problem present an amazingly high n...