Aaron Kershenbaum, Robert R. Boorstyn, et al.
IEEE Journal on Selected Areas in Communications
This paper describes a new approach to finding solutions to the optimal communication spanning tree problem (OCSTP) using a genetic algorithm. The difficulties posed by this problem are reviewed and a genetic algorithm that consistently finds very good, if not optimal, solutions to it is presented. Finally, a comparison of the genetic algorithm's solutions to those produced by a good heuristic is given that demonstrates the genetic algorithm's ability to find solutions at least equivalent to, if not superior to, those found by the heuristic. Copyright © 1995 Wiley Periodicals, Inc., A Wiley Company
Aaron Kershenbaum, Robert R. Boorstyn, et al.
IEEE Journal on Selected Areas in Communications
Larry Koved, Marco Pistoia, et al.
OOPSLA 2002
Charles C. Palmer
IEEE Security and Privacy
James W. Cooper, Aaron Kershenbaum
BMC Bioinformatics