Abstract
The optimization problem treated here is to find x, which optimizes cost function F(x), where x = { x1, x2, ..., x D } is a set of real parameters and D represents the dimension of the cost function. Domains of the real parameters are defined by their lower and upper bounds: \(x_j^{low}\), \(x_j^{upp}\); 1 ≤ j ≤ D. In this paper we consider only high-dimensional cost functions with real parameters; D up to 1000.
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Korošec, P., Šilc, J. (2008). The Differential Ant-Stigmergy Algorithm for Large Scale Real-Parameter Optimization. In: Dorigo, M., Birattari, M., Blum, C., Clerc, M., Stützle, T., Winfield, A.F.T. (eds) Ant Colony Optimization and Swarm Intelligence. ANTS 2008. Lecture Notes in Computer Science, vol 5217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87527-7_51
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DOI: https://doi.org/10.1007/978-3-540-87527-7_51
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