Novel hybrid optimization algorithm and applications
Dengxu He · Computer Engineering and Applications Journal · 2009
After analyzing the disadvantages of original Artificial Fish-School Algorithm(AFSA) and (1+1)-Evolution Strategies (ES),a novel hybrid optimization algorithm is proposed.By adding history best fish and remembering(1+1)-ES to original AFSA in evolution process,the ability to break away from the disadvantages of original AFSA is greatly improved.The tests of several classic functions and application models show that the proposed algorithm can greatly improve the ability of seeking the global excellent result and convergence speed and accuracy.It is significantly superior to original AFSA and (1+1)-ES.