David M. Chess, Charles C. Palmer, et al.
IBM Systems Journal
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
David M. Chess, Charles C. Palmer, et al.
IBM Systems Journal
Larry Koved, Marco Pistoia, et al.
ACM SIGPLAN Notices
Robert Schiaffino, Achille Fokoue, et al.
WoMO 2007
Andrew M. Shooman, Aaron Kershenbaum
GLOBECOM 1991