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CEC
2009
IEEE
16 years 1 months ago
Enhancing MOEA/D with guided mutation and priority update for multi-objective optimization
—Multi-objective optimization is an essential and challenging topic in the domains of engineering and computation because real-world problems usually include several conflicting...
Chih-Ming Chen, Ying-Ping Chen, Qingfu Zhang
TCS
2008
15 years 6 months ago
Comparing evolutionary algorithms to the (1+1)-EA
In this paper, we study the conditions in which the (1+1)-EA compares favorably to other evolutionary algorithms (EAs) in terms of fitness function distribution at given iteration...
Pavel A. Borisovsky, Anton V. Eremeev
GECCO
2004
Springer
15 years 11 months ago
How Are We Doing? Predicting Evolutionary Algorithm Performance
Abstract. Given an evolutionary algorithm for a problem and an instance of the problem, the results of several trials of the EA on the instance constitute a sample from the distrib...
Mark A. Renslow, Brenda Hinkemeyer, Bryant A. Juls...
GD
2005
Springer
15 years 12 months ago
Fast Node Overlap Removal
Most graph layout algorithms treat nodes as points. The problem of node overlap removal is to adjust the layout generated by such methods so that nodes of non-zero width and height...
Tim Dwyer, Kim Marriott, Peter J. Stuckey
AHSWN
2006
148views more  AHSWN 2006»
15 years 6 months ago
Geometric Chemotaxis: A Biologically-Inspired Framework for a Class of Wireless Coverage Problems
Abstract-- We present a new, biologically-inspired algorithm for the problem of covering a given region with wireless "units" (sensors or base-stations). The general prob...
Hidayet Ozgur Sanli, Rahul Simha, Bhagirath Naraha...