The globus project: a status report
Future Generation Computer Systems - Special issue on metacomputing
Ant algorithms for discrete optimization
Artificial Life
A parallel implementation of ant colony optimization
Journal of Parallel and Distributed Computing - Problems in parallel and distributed computing: Solutions based on evolutionary paradigms
Parallelization Strategies for Ant Colony Optimization
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Ant Colony Optimization
Distributed computing in practice: the Condor experience: Research Articles
Concurrency and Computation: Practice & Experience - Grid Performance
Special Issue: Middleware for Grid Computing: Editorials
Concurrency and Computation: Practice & Experience - Middleware for Grid Computing
The UNICORE Grid infrastructure
Scientific Programming
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The paper presents a new distributed metaheuristic algorithm in an optimal control problem related to the cooling process in the continuous casting of steel. The optimization task is to tune 18 coolant flows in the caster secondary cooling system to achieve the target surface temperatures along the slab. Sequential search algorithms are proved inefficient for this problem because they take too much time to compute an appropriate solution. For this reason a new distributed search algorithm based on stigmergy perceived in ant colony was developed. The algorithm was run on the Grid that allows us to solve this optimization problem in much shorter time. As a matter of fact, the computation time can be decreased from half a day to a few hours without any decrease in the solution quality.