@article {10.3844/jcssp.2015.1025.1031,
article_type = {journal},
title = {Parameter Settings for New Generational Genetic Algorithms for Solving Global Optimization Problems},
author = {Lim, Siew Mooi and Sulaiman, Md. Nasir and Mustapha, Norwati and Sultan, Abu Bakar Md.},
volume = {11},
number = {11},
year = {2016},
month = {Jan},
pages = {1025-1031},
doi = {10.3844/jcssp.2015.1025.1031},
url = {https://thescipub.com/abstract/jcssp.2015.1025.1031},
abstract = {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.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}