Solving Artificial Bee Colony Algorithm with Time Varying Strategy by Multiple Strategy Hybrid Search: Method and Application

Abstract

【Background】 For reservoirs with non-flood season floods, small and medium-sized floods as important water resources or high water utilization rate, it is very meaningful to establish a reasonable step-size optimization model with variable time period and obtain a relatively high precision solution result. However, few answers have been given to this question over the years. 【Objective】 In order to study the integration and optimization of time step size and constraints in long series in non-flood season flood, medium and small flood regulation and power generation dispatching simulation, and to improve the comprehensive benefits of reservoir operation. 【Method】 A multi-strategy hybrid search algorithm for artificial bee colony in variable time period was established, and the optimal operation model of reservoir with the largest generating capacity under multiple constraints in a long series of variable time periods was constructed, based on the case application of Wan’an Reservoir. 【Result】 In non-flood season, the water utilization rate increased by 3%, which enhanced the utilization of flood resources; the artificial bee colony optimization algorithm with Multi Strategy hybrid search alleviated the contradiction between the selection of time step size and the calculation precision and convergence speed in the multi constraint optimization simulation calculation, and effectively improved the optimization efficiency and opening of standard artificial bee colony algorithm Ability. 【Conclusion】 The research results can provide ideas for improving the comprehensive benefits of non-flood season flood, medium and small flood regulation and power generation dispatching.

Keywords

• optimal reservoir operation
• many strategies
• hybrid search
• artificial bee colony algorithm
• change the step length of time