The 4-OPT neighborhood for the TSP contains Θ(n4) moves so that finding the best move effectively requires some ingenuity. Recently, de Berg et al. have given a Θ(n3) dynamic program, but the cubic complexity is still too large for using 4-OPT in practice. We describe a new procedure which behaves, on average, slightly worse than a quadratic algorithm. This is much faster than the DP procedure, achieving speedups of two to three orders of magnitude on all instances we tested
Computational experiments show that the greedy algorithm (GR) and the nearest neighbor algorithm (NN...
The traveling salesman problem (TSP) is an NP-complete problem. Different approximation algorithms h...
Abstract:- In recent years, heuristic algorithms are widely used to solve very large and complicated...
Given a Traveling Salesman Problem solution, the best 3-OPT move requires us to remove three edges a...
We analyze two classic variants of the Traveling Salesman Problem using the toolkit of fine-grained ...
Given a Traveling Salesman Problem solution, the best 3-OPT move requires us to remove three edges a...
We analyze two classic variants of the TRAVELING SALESMAN PROBLEM (TSP) using the toolkit of fine-gr...
Summarization: In this paper, a new modified version of Greedy Randomized Adaptive Search Procedure ...
In TSP with neighborhoods (TSPN) we are given a collec-tion X of k polygonal regions, called neighbo...
We provide two different neighborhood construction techniques for creating exponentially large neigh...
In this study, the three new heuristic algorithms which are proposed in [1] for the solution of trav...
The combinatorial optimization literature contains a multitude of polynomially solvable special case...
Computational experiments show that the greedy algorithm (GR) and the nearest neighbor algorithm (NN...
The traveling salesman problem (TSP) is an NP-complete problem. Different approximation algorithms h...
Abstract:- In recent years, heuristic algorithms are widely used to solve very large and complicated...
Given a Traveling Salesman Problem solution, the best 3-OPT move requires us to remove three edges a...
We analyze two classic variants of the Traveling Salesman Problem using the toolkit of fine-grained ...
Given a Traveling Salesman Problem solution, the best 3-OPT move requires us to remove three edges a...
We analyze two classic variants of the TRAVELING SALESMAN PROBLEM (TSP) using the toolkit of fine-gr...
Summarization: In this paper, a new modified version of Greedy Randomized Adaptive Search Procedure ...
In TSP with neighborhoods (TSPN) we are given a collec-tion X of k polygonal regions, called neighbo...
We provide two different neighborhood construction techniques for creating exponentially large neigh...
In this study, the three new heuristic algorithms which are proposed in [1] for the solution of trav...
The combinatorial optimization literature contains a multitude of polynomially solvable special case...
Computational experiments show that the greedy algorithm (GR) and the nearest neighbor algorithm (NN...
The traveling salesman problem (TSP) is an NP-complete problem. Different approximation algorithms h...
Abstract:- In recent years, heuristic algorithms are widely used to solve very large and complicated...