A Two-Stage Evolutionary Algorithm with Variable Mutation Intervals for Solving Complex Optimization Problems
Yunhao Li, Shuting Chen · 2009
A new evolutionary algorithm called Two-stage Evolutionary Algorithm with Variable Mutation Intervals (TEAVMI) is proposed in this paper. TEAVMI improves the performance of traditional EAs by introducing new evolutionary operators, and it has many new features. It introduces the multi-parent crossover operator with elite-preservation, and develops dynamical mutation operator and space contraction operator; It also introduces a new two-stage algorithm framework. Simulation results on some typical test problems show that TEAVMI is better than existing traditional evolutionary algorithm in the accuracy of solutions.