Introduction - If you have any usage issues, please Google them yourself
Aiming at the problem that the objective function of the traditional coal mine energy saving and emission reduction optimization model is relatively simple, the multi-objective optimization model of coal mine energy saving and emission reduction is constructed, which covers economic benefit, energy consumption and pollutant emission. And the optimized solution is used to find the 3 target functions based on the improved bat algorithm, and the economy is realized. The optimization results of maximizing efficiency, minimizing energy consumption and minimizing pollutant emissions are achieved. The simulation results show that, compared with the PSO-E and NSGA-II algorithms, the improved bat algorithm can obtain higher individual fitness within a shorter iteration step, and can achieve better multi-objective optimization results, which is in line with the target demand of energy saving planning.