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CEC
2007
IEEE
16 years 17 days ago
On improving approximate solutions by evolutionary algorithms
Abstract—Hybrid methods are very popular for solving problems from combinatorial optimization. In contrast to this the theoretical understanding of the interplay of different opt...
Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank ...
JSAC
2006
100views more  JSAC 2006»
15 years 6 months ago
An improved algorithm for optimal lightpath establishment on a tree topology
Routing and wavelength assignment (RWA) aims to assign the limited number of wavelengths in a wavelength-division multiplexed (WDM) optical network so as to achieve greater capacit...
Guoliang Xue, Weiyi Zhang, Jian Tang, Krishnaiyan ...
PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
16 years 23 days ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
CCE
2004
15 years 6 months ago
Computational studies using a novel simplicial-approximation based algorithm for MINLP optimization
Significant advances have been made in the last two decades for the effective solution of mixed integer non-linear programming (MINLP) problems, mainly by exploiting the special s...
Vishal Goyal, Marianthi G. Ierapetritou
EC
2000
96views ECommerce» more  EC 2000»
15 years 6 months ago
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
Solving optimization problems with multiple (often conflicting) objectives is, generally, a very difficult goal. Evolutionary algorithms (EAs) were initially extended and applied ...
David A. van Veldhuizen, Gary B. Lamont