Abstract — In this paper, developing a new local search approach based on 2-Opt operator and its implementation for TSP solution in SA algorithm (as a global search algorithm) is purposed. It is shown that more favorable results are expected by meaningful correlation between local search approach and global search algorithm in annealing process. In order to compare the performance of the proposed operator with the 2-Opt as a basic operator, 24 benchmarks of TSP is selected from TSPLIB and both algorithms are implemented for 20 times for solving these benchmarks. The results show the improvement of error average for about 27%. Keywords- TSP; Local search; 2-Opt; Global search; Simulated annealin
Summarization: In this paper we discuss how one of the most famous local optimization algorithms for...
This paper puts forward a constructive heuristic algorithm called the method of inserting the minimu...
This paper puts forward a constructive heuristic algorithm called the method of inserting the minimu...
Abstract. With this paper we contribute to the understanding of the success of 2-opt based local sea...
With this paper we contribute to the understanding of the success of 2-opt based local search algori...
Meta-heuristics are frequently used to tackle NP-hard combinatorial optimization problems. With this...
The Traveling Salesman Problem (TSP) is one of the most famous problems in combinatorial optimizatio...
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...
The traveling salesman problem (TSP) is a very popular combinatorics problem. This problem has been ...
Meta-heuristics are frequently used to tackle NP-hard combinatorial optimization problems. With this...
Summarization: In this paper we discuss how one of the most famous local optimization algorithms for...
This paper puts forward a constructive heuristic algorithm called the method of inserting the minimu...
This paper puts forward a constructive heuristic algorithm called the method of inserting the minimu...
Abstract. With this paper we contribute to the understanding of the success of 2-opt based local sea...
With this paper we contribute to the understanding of the success of 2-opt based local search algori...
Meta-heuristics are frequently used to tackle NP-hard combinatorial optimization problems. With this...
The Traveling Salesman Problem (TSP) is one of the most famous problems in combinatorial optimizatio...
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...
The traveling salesman problem (TSP) is a very popular combinatorics problem. This problem has been ...
Meta-heuristics are frequently used to tackle NP-hard combinatorial optimization problems. With this...
Summarization: In this paper we discuss how one of the most famous local optimization algorithms for...
This paper puts forward a constructive heuristic algorithm called the method of inserting the minimu...
This paper puts forward a constructive heuristic algorithm called the method of inserting the minimu...