Population size reduction for the differential evolution algorithm
Applied Intelligence
The differential ant-stigmergy algorithm applied to dynamic optimization problems
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Dynamic optimization using self-adaptive differential evolution
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
SamACO: variable sampling ant colony optimization algorithm for continuous optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
| Hi-index | 0.00 |
The optimization problem treated here is to find x, which optimizes cost function F(x), where x= { x1, x2, ..., xD} is a set of real parameters and Drepresents 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; Dup to 1000.