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GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
14 years 2 months ago
A Similarity-Based Mating Scheme for Evolutionary Multiobjective Optimization
This paper proposes a new mating scheme for evolutionary multiobjective optimization (EMO), which simultaneously improves the convergence speed to the Pareto-front and the diversit...
Hisao Ishibuchi, Youhei Shibata
EC
2011
262views ECommerce» more  EC 2011»
13 years 3 months ago
Computer-Automated Evolution of an X-Band Antenna for NASA's Space Technology 5 Mission
Whereas the current practice of designing antennas by hand is severely limited because it is both time and labor intensive and requires a significant amount of domain knowledge, ...
Gregory Hornby, Jason D. Lohn, Derek S. Linden
CIMCA
2008
IEEE
14 years 3 months ago
LGR: The New Genetic Based Scheduler for Grid Computing Systems
—The computational grid provides a promising platform for the deployment of various high-performance computing applications. In computational grid, an efficient scheduling of tas...
Leili Mohammad Khanli, Seyad Naser Razavi, Nima Ja...
CEC
2008
IEEE
13 years 10 months ago
Directed trees: A powerful representation for sorting and ordering problems
We present a simple framework for dealing with search spaces consisting of permutations. To demonstrate its usefulness, we build upon it a simple (1 + 1)-evolutionary algorithm fo...
Benjamin Doerr, Edda Happ
TEC
2010
77views more  TEC 2010»
13 years 3 months ago
On Set-Based Multiobjective Optimization
Abstract--Assuming that evolutionary multiobjective optimization (EMO) mainly deals with set problems, one can identify three core questions in this area of research: (i) how to fo...
Eckart Zitzler, Lothar Thiele, Johannes Bader