In this paper we study a parallel implementation of the D-Ant algorithm developed by Reimann, Doerner and Hartl [9] for solving the Vehicle Routing Problem. The main idea in this algorithm is to speed up the search by letting the ants solve only sub-problems rather than the whole problem. This algorithm is well suited for parallelization. We propose a mixed parallelization strategy which combines fine-grained with coarse-grained parallelism.
This paper presents the design and analysis of a system to solve Vehicle Routing Problems wit Time W...
The ant system is a metaheuristic developed for the solution of hard combinatorial optimization prob...
The vehicle routing problem (VRP) is one of the most significant problems of the operational researc...
A large body of research on the vehicle routing problem and its variants focuses on developing effic...
This paper presents two partition methods that speed up iterative search methods applied to vehicle ...
this paper an improved ant system algorithm for the Vehicle Routing Problem with one central depot a...
Abstract. The Ant System is a new meta-heuristic method particularly appropriate to solve hard combi...
Along with the progress in computer hardware architecture and computational power, in order to overc...
The algorithm developed in this work differs strongly from the other Ant algorithms in the literatur...
This paper proposes a Distributed Multi-ant Algorithm for capacity vehicle route problem (CVRP) wher...
Parallelizing metaheuristics has become a common practice considering the computation power and reso...
This paper introduces a modified Max-Min Ant System (MMAS) algorithm to solve the Vehicle Routing Pr...
Working out the best route for a land vehicle to take from its current position to a certain destina...
Along with the progress in computer hardware architecture and computational power, in order to overc...
This diploma thesis focuses on meta-heuristic algorithms and their ability to solve difficult optimi...
This paper presents the design and analysis of a system to solve Vehicle Routing Problems wit Time W...
The ant system is a metaheuristic developed for the solution of hard combinatorial optimization prob...
The vehicle routing problem (VRP) is one of the most significant problems of the operational researc...
A large body of research on the vehicle routing problem and its variants focuses on developing effic...
This paper presents two partition methods that speed up iterative search methods applied to vehicle ...
this paper an improved ant system algorithm for the Vehicle Routing Problem with one central depot a...
Abstract. The Ant System is a new meta-heuristic method particularly appropriate to solve hard combi...
Along with the progress in computer hardware architecture and computational power, in order to overc...
The algorithm developed in this work differs strongly from the other Ant algorithms in the literatur...
This paper proposes a Distributed Multi-ant Algorithm for capacity vehicle route problem (CVRP) wher...
Parallelizing metaheuristics has become a common practice considering the computation power and reso...
This paper introduces a modified Max-Min Ant System (MMAS) algorithm to solve the Vehicle Routing Pr...
Working out the best route for a land vehicle to take from its current position to a certain destina...
Along with the progress in computer hardware architecture and computational power, in order to overc...
This diploma thesis focuses on meta-heuristic algorithms and their ability to solve difficult optimi...
This paper presents the design and analysis of a system to solve Vehicle Routing Problems wit Time W...
The ant system is a metaheuristic developed for the solution of hard combinatorial optimization prob...
The vehicle routing problem (VRP) is one of the most significant problems of the operational researc...