A distributed ant-based algorithm for numerical optimization
P. Korošec, J. Šilc
Proc. Workshop on Bio-Inspired Algorithms for Distributed Systems BADS 2009
Barcelona, Spain, 19 June, 2009
This paper presents a new distributed approach applying to the numerical optimization problem. The algorithm is based on ant-stigmergy metaheuristics where indirect coordination between ants drives the search procedure towards the optimal solution. Indirect coordination offers a high degree of parallelism and therefore a straightforward distributed implementation. For communication between processes a MPICH2 for Windows library is used. The cost function evaluation is an important part of numerical optimization and is usually realized as black-box simulator. Therefore, an algorithm analysis according to simulator’s time complexity is discussed.
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