A Genetic Algorithm with Fast Local Adjustment
Xi Liu · Chinese Journal of Computers · 2006
A genetic algorithm with fast local adjustment is presented.In the mutation,high fitness individuals in population are executed inducing mutation and others are executed stochastic-dynamic-range mutation;in the crossover,the algorithm is divided into searching phase and adjusting phase.And in two phases,the stochastic linear combination crossover and partial certainty inducing crossover are adopted respectively.The high accurate numerical solution can be found in the short time when the FLAGA adopted in an adjacent domain of the global optimization solution.By the experiments of ten typical test functions' optimization,it's proved that the FLAGA is fast and stable and easy to realize.In the global search,the FLAGA's convergence rate and solution quality exceed GA's obviously when it's control parameters are adjusted rightly.