Solution of Pilot Simulator Timetable Problem Based on Genetic Algorithm
Wenbin Liu, Shouzhi Zhang, Shi Bole · Jisuanji gongcheng · 2011
The pilot simulator scheduling problem is a multi-objective and multi-constrained timetable problem.High complexity of the problem makes it impossible to solve it by using traditional Genetic Algorithm(GA).This paper proposes an improved GA.The new crossover and reproduction operator,which are redesigned by gene fitness,effectively increases the diversity and the evolution performance of the population.Experimental results based on simulation data and real data show that the improved algorithm can increase the precision of solutions and convergence speed of the population.