TY  - JOUR
AU  - Lim, Siew Mooi 
AU  - Sulaiman, Md. Nasir 
AU  - Mustapha, Norwati 
AU  - Sultan, Abu Bakar Md. 
PY  - 2016
TI  - Parameter Settings for New Generational Genetic Algorithms for Solving Global Optimization Problems
JF  - Journal of Computer Science
VL  - 11
IS  - 11
DO  - 10.3844/jcssp.2015.1025.1031
UR  - https://thescipub.com/abstract/jcssp.2015.1025.1031
AB  - This study operates within experimental design with two main tools of Taguchi method namely orthogonal array and signal to noise ratio to discover the optimal parameter settings for newly proposed generational genetic algorithms; they are Laplace Crossover-Scale Truncated Pareto Mutation (LX-STPM) and Rayleigh Crossover-Scale Truncated Pareto Mutation (RX-STPM). It concluded that GA parameter settings are algorithms and problems dependent.