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CEC
2005
IEEE
13 years 11 months ago
Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems
Several approaches have been developed into evolutionary algorithms to deal with dynamic optimization problems, of which memory and random immigrants are two major schemes. This pa...
Shengxiang Yang
AE
2007
Springer
13 years 11 months ago
An Evolutionary Algorithm for the Block Stacking Problem
Abstract. How has a stack of n blocks to be arranged in order to maximize its overhang over a table edge while being stable? This question can be seen as an example application for...
Tim Hohm, Matthias Egli, Samuel Gaehwiler, Stefan ...
EMO
2001
Springer
225views Optimization» more  EMO 2001»
13 years 10 months ago
Application of Multiobjective Evolutionary Algorithms for Dose Optimization Problems in Brachytherapy
In High Dose Rate (HDR) brachytherapy the conventional dose optimization algorithms consider the multiple objectives in form of an aggregate function which combines individual obj...
Michael Lahanas, Natasa Milickovic, Dimos Baltas, ...
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
13 years 11 months ago
Transition models as an incremental approach for problem solving in evolutionary algorithms
This paper proposes an incremental approach for building solutions using evolutionary computation. It presents a simple evolutionary model called a Transition model in which parti...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, J...
GECCO
2006
Springer
208views Optimization» more  GECCO 2006»
13 years 9 months ago
Comparing evolutionary and temporal difference methods in a reinforcement learning domain
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
Matthew E. Taylor, Shimon Whiteson, Peter Stone