Optimization methods are widely used in marketing, and in certain tourism applications, but appear to have been ignored in the tourism marketing literature. The advantages of a relatively new generation of general optimization methods, meta-heuristics, over traditional optimization methods are discussed. The application of genetic algorithms within a tourism marketing context is then demonstrated, with specific reference to the problem of tourism site location. The results suggest that genetic algorithms are likely to outperform traditional optimization methods when the number of sites (existing and proposed) is large
The first part of this work deals with the optimization and evolutionary algorithms which are used a...
This project is to develop an interface to assist in solving Travelling Salesman Problem, to produce...
This paper seeks to evaluate the performance of genetic algorithms (GA) as an alternative procedure ...
Aims to show the potential benefits associated with the application of genetic algorithms (GAs) to t...
This research study applies an underutilized analytical tool in academic tourism research, a genetic...
In this paper we show how three relatively unknown optimization techniques could be used to solve im...
Tourist route planning is encountered in decisions regarding touristic activities. All destination p...
The eight basic elements to design genetic algorithms (GA) are described and applied to solve a low ...
A genetic Algorithm is a search algorithm inspired by natural selection. Genetic algorithms are used...
Bandung Tourism is currently developing rapidly, where every year the number of tourist attractions ...
This paper presents an application of genetic algorithms (GAs) to a well-known traveling salesman pr...
Smart tourism destinations face challenges in efficiently scheduling services to meet the diverse ne...
We use an interactive genetic algorithm to divide and conquer large traveling salesperson problems. ...
Route optimization is a problem that has been studied for centuries. There exist numerous solutions ...
The purpose of this paper is to optimize the tourism path to make the distance shorter. The article ...
The first part of this work deals with the optimization and evolutionary algorithms which are used a...
This project is to develop an interface to assist in solving Travelling Salesman Problem, to produce...
This paper seeks to evaluate the performance of genetic algorithms (GA) as an alternative procedure ...
Aims to show the potential benefits associated with the application of genetic algorithms (GAs) to t...
This research study applies an underutilized analytical tool in academic tourism research, a genetic...
In this paper we show how three relatively unknown optimization techniques could be used to solve im...
Tourist route planning is encountered in decisions regarding touristic activities. All destination p...
The eight basic elements to design genetic algorithms (GA) are described and applied to solve a low ...
A genetic Algorithm is a search algorithm inspired by natural selection. Genetic algorithms are used...
Bandung Tourism is currently developing rapidly, where every year the number of tourist attractions ...
This paper presents an application of genetic algorithms (GAs) to a well-known traveling salesman pr...
Smart tourism destinations face challenges in efficiently scheduling services to meet the diverse ne...
We use an interactive genetic algorithm to divide and conquer large traveling salesperson problems. ...
Route optimization is a problem that has been studied for centuries. There exist numerous solutions ...
The purpose of this paper is to optimize the tourism path to make the distance shorter. The article ...
The first part of this work deals with the optimization and evolutionary algorithms which are used a...
This project is to develop an interface to assist in solving Travelling Salesman Problem, to produce...
This paper seeks to evaluate the performance of genetic algorithms (GA) as an alternative procedure ...