Summarization: In this paper we discuss how one of the most famous local optimization algorithms for the Traveling Salesman Problem, the 2-Opt, can be efficiently implemented in hardware for Euclidean TSP instances up to a few hundred cities. We introduce the notion of "symmetrical 2-Opt moves" which allows us to uncover fine-grain parallelism when executing the specified algorithm. We propose a novel architecture that exploits this parallelism. A subset of the TSPLIB benchmark is used to evaluate the proposed architecture and its ASIC implementation, which exhibits better final results and an average speedup of 20 when compared with the state-of-the-art software implementation. Our approach produces, to the best of our knowledge, the faste...
The Travelling Salesman Problem (TSP) is one of the most studied combinatorial optimization problem ...
The Travelling Salesman Problem (TSP) is one of the most studied combinatorial optimization problem ...
Abstract — In this paper, developing a new local search approach based on 2-Opt operator and its imp...
Summarization: In this paper we discuss and analyze the FPGA-based implementation of an algorithm fo...
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...
<p>The Travelling Salesman Problem (TSP) is one of the most studied combinatorial optimization probl...
To accelerate the solution for large scale traveling salesman problems (TSP), a parallel 2-opt local...
This research involves the development of a compute unified device architecture (CUDA) accelerated 2...
To accelerate the solution for large scale traveling salesman problems (TSP), a parallel 2-opt local...
A tabu search algorithm for the traveling salesman problem (TSP) is developed. The algorithm is base...
The Travelling Salesman Problem (TSP) is one of the most studied combinatorial optimization problem ...
The Travelling Salesman Problem (TSP) is one of the most studied combinatorial optimization problem ...
Abstract — In this paper, developing a new local search approach based on 2-Opt operator and its imp...
Summarization: In this paper we discuss and analyze the FPGA-based implementation of an algorithm fo...
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...
<p>The Travelling Salesman Problem (TSP) is one of the most studied combinatorial optimization probl...
To accelerate the solution for large scale traveling salesman problems (TSP), a parallel 2-opt local...
This research involves the development of a compute unified device architecture (CUDA) accelerated 2...
To accelerate the solution for large scale traveling salesman problems (TSP), a parallel 2-opt local...
A tabu search algorithm for the traveling salesman problem (TSP) is developed. The algorithm is base...
The Travelling Salesman Problem (TSP) is one of the most studied combinatorial optimization problem ...
The Travelling Salesman Problem (TSP) is one of the most studied combinatorial optimization problem ...
Abstract — In this paper, developing a new local search approach based on 2-Opt operator and its imp...