This paper focuses on the possibilities of multidimensional genetic algorithms and relevant genetic operators. After the literature overview we used a three-dimensional genetic algorithm to solve a combinatorial task called Kirkman’s Schoolgirl Problem. The first results were not good, but we improved convergence of an algorithm by adding more genetic operators. We also used problem dependent mutation, where we tried to repair the incorrect solution by using the simple heuristic method. Finally, we got a solid number of correct solutions, but we know there is enough room for other improvements
For more than two decades, genetic algorithms (GAs) have been studied by researchers from different ...
The multiple traveling salesmen problem (mTSP) considers the m salesmen to visit n cities. This prob...
Introduction. Practical tasks (location of service points, creation of microcircuits, scheduling, et...
This paper focuses on the possibilities of multidimensional genetic algorithms and relevant genetic ...
This paper focuses on the possibilities of multidimensional genetic algorithms and relevant genetic ...
The fundamental problem in genetic algorithms is premature convergence, and it is strongly related t...
Genetic Algorithms use life as their model to solve difficult problems in computer science. They use...
A multi-chromosome GA (Multi-GA) was developed, based upon concepts from the natural world, allowing...
An important class of combinatorial optimization problems are the Multidimensional 0/1 Knapsacks, an...
In this paper, we apply a genetic algorithm to TSP. Since in TSP, a tour must pass through edges in ...
In this paper, The Multidimensional Knapsack Problem (MKP) which occurs in many different applicatio...
Genetic algorithms represent a global optimisation method, imitating the principles of natural evol...
The past thirty years have seen a rapid growth in the popularity and use of Genetic Algorithms for s...
In this paper it is explained how to solve a fully connected N-City travelling salesman problem (TSP...
For the solution of combinatorial problem, various algorithms has been investigated. However, almost...
For more than two decades, genetic algorithms (GAs) have been studied by researchers from different ...
The multiple traveling salesmen problem (mTSP) considers the m salesmen to visit n cities. This prob...
Introduction. Practical tasks (location of service points, creation of microcircuits, scheduling, et...
This paper focuses on the possibilities of multidimensional genetic algorithms and relevant genetic ...
This paper focuses on the possibilities of multidimensional genetic algorithms and relevant genetic ...
The fundamental problem in genetic algorithms is premature convergence, and it is strongly related t...
Genetic Algorithms use life as their model to solve difficult problems in computer science. They use...
A multi-chromosome GA (Multi-GA) was developed, based upon concepts from the natural world, allowing...
An important class of combinatorial optimization problems are the Multidimensional 0/1 Knapsacks, an...
In this paper, we apply a genetic algorithm to TSP. Since in TSP, a tour must pass through edges in ...
In this paper, The Multidimensional Knapsack Problem (MKP) which occurs in many different applicatio...
Genetic algorithms represent a global optimisation method, imitating the principles of natural evol...
The past thirty years have seen a rapid growth in the popularity and use of Genetic Algorithms for s...
In this paper it is explained how to solve a fully connected N-City travelling salesman problem (TSP...
For the solution of combinatorial problem, various algorithms has been investigated. However, almost...
For more than two decades, genetic algorithms (GAs) have been studied by researchers from different ...
The multiple traveling salesmen problem (mTSP) considers the m salesmen to visit n cities. This prob...
Introduction. Practical tasks (location of service points, creation of microcircuits, scheduling, et...