An n log n randomized method based on POPMUSIC metaheuristic is proposed for generating reasonably good solutions to the travelling salesman problem. The method improves a previous work which algorithmic complexity was in n1:6. The method has been tested on instances with billions of cities. Few dozens of runs are able to generate a very high proportion of the edges of the best solutions known. This characteristic is exploited in a new release of the Helsgaun’s implementation of Lin-Kernighan heuristic (LKH) that is also able to produce rapidly extremely good solutions for non Euclidean instances
We consider eight heuristics for constructing approximate solutions to the traveling salesman proble...
This article provides an overview to the Travelling Salesman Problem (TSP) and the relevant aspects ...
The travelling salesman problem is one of the most popular kind of route trip transportation problem...
An n log n randomized method based on POPMUSIC metaheuristic is proposed for generating reasonably g...
POPMUSIC— Partial OPtimization Metaheuristic Under Special Intensification Conditions — is a templat...
ABSTRACT-Travelling salesman problem (TSP) is a one of the most popular real world combinatorial opt...
The travelling salesman problem (TSP) is an NP-hard problem in combinatorial optimization, important...
The method has been tested on instances with billions of cities. For a lot of problem instances of t...
We present an “adaptive multi-start” genetic algorithm for the Euclidean traveling salesman problem ...
ABSTRACT. The main objective of the paper is to present an algorithm for finding a solution to the t...
Thesis deals with solving large-scale traveling salesman problem. The aim is to find the best possib...
We present an “adaptive multi-start ” genetic algorithm for the Euclidean traveling salesman problem...
The multilevel paradigm has recently been applied to the travelling salesman problem with consid-era...
This paper provides the survey of the heuristics solution approaches for the traveling salesman prob...
We discuss several issues that arise in the implementation of Martin, Otto, and Felten's Chaine...
We consider eight heuristics for constructing approximate solutions to the traveling salesman proble...
This article provides an overview to the Travelling Salesman Problem (TSP) and the relevant aspects ...
The travelling salesman problem is one of the most popular kind of route trip transportation problem...
An n log n randomized method based on POPMUSIC metaheuristic is proposed for generating reasonably g...
POPMUSIC— Partial OPtimization Metaheuristic Under Special Intensification Conditions — is a templat...
ABSTRACT-Travelling salesman problem (TSP) is a one of the most popular real world combinatorial opt...
The travelling salesman problem (TSP) is an NP-hard problem in combinatorial optimization, important...
The method has been tested on instances with billions of cities. For a lot of problem instances of t...
We present an “adaptive multi-start” genetic algorithm for the Euclidean traveling salesman problem ...
ABSTRACT. The main objective of the paper is to present an algorithm for finding a solution to the t...
Thesis deals with solving large-scale traveling salesman problem. The aim is to find the best possib...
We present an “adaptive multi-start ” genetic algorithm for the Euclidean traveling salesman problem...
The multilevel paradigm has recently been applied to the travelling salesman problem with consid-era...
This paper provides the survey of the heuristics solution approaches for the traveling salesman prob...
We discuss several issues that arise in the implementation of Martin, Otto, and Felten's Chaine...
We consider eight heuristics for constructing approximate solutions to the traveling salesman proble...
This article provides an overview to the Travelling Salesman Problem (TSP) and the relevant aspects ...
The travelling salesman problem is one of the most popular kind of route trip transportation problem...