Title :
Enhanced evolutionary programming for function optimization
Author :
Wu, B.L. ; Yu, X.H.
Author_Institution :
Fac. of Inf. & Commun., Central Queensland Univ., Rockhampton, Qld., Australia
Abstract :
An enhanced evolutionary programming algorithm is proposed for function optimization. This algorithm incorporates the gradient descent mechanism in generation of offspring. Such incorporation improves the low convergence speed that has been a drawback of the evolutionary programming in function optimization. Five well-known test functions are used to show the effectiveness of the enhancement
Keywords :
convergence of numerical methods; function evaluation; optimisation; convergence speed; enhanced evolutionary programming algorithm; function optimization; gradient descent mechanism; offspring generation; test functions; Australia; Convergence; Evolution (biology); Evolutionary computation; Functional programming; Genetic mutations; Genetic programming; Informatics; Optimization methods; Testing;
Conference_Titel :
Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4869-9
DOI :
10.1109/ICEC.1998.700127
