Improved genetic -annealing algorithm for global optimization of complex functions
Ling Wang · Journal of Tsinghua University(Science and Technology) · 2002
Aimed at global optimization of complex functions, this paper first proposes an improved simulated annealing with neighbor function based on self -optimization of a scale parameter. Then, combined chaotic series, with multi -operator mutations based on probabilistic acceptance, an improved genetic -annealing algorithm is proposed by incorporating disaster -modification and the improved annealing into genetic algorithm. Simulation results based on several benchmarks demonstrate the effectiveness of the proposed algorithms applied to high -dimensional complex functions. The performances of the improved genetic algorithm are quite better than those of classical algorithm, simulated annealing, improved evolutionary programming and genetic -ALOPEX methods.