Summarization: In this paper, a new algorithm is proposed for the solution of the Multicast Routing Problem. The algorithm is based on the Artificial Bee Colony approach hybridized with Variable Neighborhood Search. The quality of the algorithm is evaluated with experiments conducted on suitably modified benchmark instances of the Euclidean Traveling Salesman Problem from the TSP library. The results of the algorithm are compared to results obtained by several versions of the Particle Swarm Optimization algorithm. The comparisons indicated the effectiveness of the new approach.Παρουσιάστηκε στο: 19th European Conference on Applications of Evolutionary Computatio
<div><p>This paper investigates a well-known complex combinatorial problem known as the vehicle rout...
An example of a combinatorial problem is the vehicle routing problem with time windows (VRPTW), whic...
The ABC algorithm is one of the popular optimization algorithms and has been used successfully in so...
Summarization: In this paper, a new algorithm for the solution of the Multicast Routing Problem base...
Summarization: Artificial Bee Colony algorithm is a very powerful Swarm Intelligence Algorithm that ...
The capacitated vehicle routing problem (CVRP) is one of the combinatorial optimization problems wit...
Summarization: Routing has always been of immense importance in communication networks due to its im...
Summarization: The bumble bees mating optimization (BBMO) algorithm is a relatively new swarm intell...
Abstract. Many practical and complex problems in industry and business such as the routing problems,...
Session MF-03: Population-based metaheuristics for routing problems - Stream: Metaheuristics - Invit...
Vehicle routing problems constitute a class of combinatorial optimization tasks that search for opti...
This paper introduces an artificial bee colony heuristic for solving the capacitated vehicle routing...
Quality of service multicast routing is an important research topic in networks. Research has sought...
With advanced information technologies and industrial intelligence, Industry 4.0 has been witnessing...
Travelling salesman problem (TSP) is one the problems of NP-complete family, which means finding sho...
<div><p>This paper investigates a well-known complex combinatorial problem known as the vehicle rout...
An example of a combinatorial problem is the vehicle routing problem with time windows (VRPTW), whic...
The ABC algorithm is one of the popular optimization algorithms and has been used successfully in so...
Summarization: In this paper, a new algorithm for the solution of the Multicast Routing Problem base...
Summarization: Artificial Bee Colony algorithm is a very powerful Swarm Intelligence Algorithm that ...
The capacitated vehicle routing problem (CVRP) is one of the combinatorial optimization problems wit...
Summarization: Routing has always been of immense importance in communication networks due to its im...
Summarization: The bumble bees mating optimization (BBMO) algorithm is a relatively new swarm intell...
Abstract. Many practical and complex problems in industry and business such as the routing problems,...
Session MF-03: Population-based metaheuristics for routing problems - Stream: Metaheuristics - Invit...
Vehicle routing problems constitute a class of combinatorial optimization tasks that search for opti...
This paper introduces an artificial bee colony heuristic for solving the capacitated vehicle routing...
Quality of service multicast routing is an important research topic in networks. Research has sought...
With advanced information technologies and industrial intelligence, Industry 4.0 has been witnessing...
Travelling salesman problem (TSP) is one the problems of NP-complete family, which means finding sho...
<div><p>This paper investigates a well-known complex combinatorial problem known as the vehicle rout...
An example of a combinatorial problem is the vehicle routing problem with time windows (VRPTW), whic...
The ABC algorithm is one of the popular optimization algorithms and has been used successfully in so...