Parallel ant colonies for the quadratic assignment problem
Future Generation Computer Systems - Special issue on bio-impaired solutions to parallel processing problems
Fast Ant Colony Optimization on Runtime Reconfigurable Processor Arrays
Genetic Programming and Evolvable Machines
A parallel implementation of ant colony optimization
Journal of Parallel and Distributed Computing - Problems in parallel and distributed computing: Solutions based on evolutionary paradigms
Ant Colony Optimization
Solving the mesh-partitioning problem with an ant-colony algorithm
Parallel Computing - Special issue: Parallel and nature-inspired computational paradigms and applications
Parallel ant colony optimization for the traveling salesman problem
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
A survey on parallel ant colony optimization
Applied Soft Computing
Information Sciences: an International Journal
Hi-index | 0.00 |
Ant Colony Optimization (ACO) is recently proposed metaheuristic approach for solving hard combinatorial optimization problems Parallel implementation of ACO can reduce the computational time obviously An improved parallel ACO algorithm is proposed in this paper, which use dynamic transition probability to enlarge the search space by stimulating ants choosing new path at early stage; use polymorphic ant colony to improve convergence speed by local search and global search; use partially asynchronous parallel implementation, interactive multi-colony parallel and new information exchange strategy to improve the parallel efficiency We implement the algorithm on the Dawn 4000L parallel computer using MPI and C language The Numerical result indicates the algorithm proposed in this paper can improve convergence speed effectively with the fine solution quality.