Orthogonal Discrete Optimized Firefly and Ant Colony Fusion Algorithm in Formula Design
Wang Xuejun · 2018
Ant colony algorithm is a stochastic search optimization algorithm, which needs to be improved in solving the formulation design problem of continuous variables. Firefly algorithm has the characteristics of fast convergence. The firefly algorithm combines ant colony algorithm through orthogonal design, orthogonal solution space discrete to form orthogonal discrete points, dynamic probability transfer planning, combined random search and deterministic search, through the initial solution Group, adaptive group, the optimal solution group process, using firefly and ant colony fusion algorithm to solve the problem of formula design, and provides a unique method for the optimal combination of algorithms.