In this paper, we propose a differential evolution algorithm to solve constrained optimization problems. Our approach uses three simple selection criteria based on feasibility to g...
We present an empirical comparison of the AUC performance of seven supervised learning methods: SVMs, neural nets, decision trees, k-nearest neighbor, bagged trees, boosted trees,...
In this paper, the use of Simulated Evolution (SimE) Algorithm in the design of digital logic circuits is proposed. SimE algorithm consists of three steps: evaluation, selection an...
Sadiq M. Sait, Mostafa Abd-El-Barr, Uthman S. Al-S...
: This paper describes a knowledge model for a configuration problem in the domain of traffic control. The goal of this model is to help traffic engineers in the dynamic selection ...