leitingzhi: Lei & Tingzhi Adaptation Function

In adana: Adaptive Nature-Inspired Algorithms for Hybrid Genetic Optimization

Lei & Tingzhi Adaptation Function

Description

This adaptation function proposed by Lei & Tingzhi (1994) is an adaptation function that takes into account the cooperation of individuals.

Usage

leitingzhi(fitvals, cxpc, cxpc2, 
                      mutpm, mutpm2, adapa, adapb, ...)

Arguments

fitvals	A vector. Fitness values of current generation
cxpc	Crossover rate for adaptation. 0 <= cxpc <= 1. default is 0.9
cxpc2	Crossover rate for adaptation. 0 <= cxpc2 <= 1. default is 0.5
mutpm	Mutation rate for adaptation. 0 <= mutpm <= 1. default is 0.05
mutpm2	Mutation rate for adaptation. 0 <= mutpm2 <= 1. default is 0.2
adapa	Adaptation threshold for average of fitness values. 0 <= adapa <= 1. default is 0.7
adapb	Adaptation threshold for minimum of fitness values. 0.5 <= adapb <= 1. default is 0.5
...	Further arguments passed to or from other methods.

Value

pc	Crossover rate
pm	Mutation rate

Author(s)

Zeynel Cebeci & Erkut Tekeli

References

Lei, W. and Tingzhi, S. (2004). An improved adaptive genetic algorithm and its application to image segmentation. In Proc. of 5th Int. Conf. on Artificial Neural Network and Genetic Algorithms, pp. 112-119.

See Also

fixpcmut, ilmdhc, adana1, adana2, adana3

adana documentation built on March 18, 2022, 6:03 p.m.