We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
The next generation of advanced self-protection jammers is expected to deliver effective and energy efficient jamming against modern air tracking radars. However, optimizing such ...
This paper offers practical design-guidelines for developing efficient genetic algorithms (GAs) to successfully solve realworld problems. As an important design component, a prac...
Chang Wook Ahn, Sanghoun Oh, Rudrapatna S. Ramakri...
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
The study of common, complex multifactorial diseases in genetic epidemiology is complicated by nonlinearity in the genotype-to-phenotype mapping relationship that is due, in part,...
Ryan J. Urbanowicz, Nate Barney, Bill C. White, Ja...