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» UMDAs for dynamic optimization problems
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107
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GECCO
2005
Springer
180views Optimization» more  GECCO 2005»
15 years 6 months ago
Inference of gene regulatory networks using s-system and differential evolution
In this work we present an improved evolutionary method for inferring S-system model of genetic networks from the time series data of gene expression. We employed Differential Ev...
Nasimul Noman, Hitoshi Iba
122
Voted
GECCO
2010
Springer
178views Optimization» more  GECCO 2010»
15 years 5 months ago
Crossing the reality gap in evolutionary robotics by promoting transferable controllers
The reality gap, that often makes controllers evolved in simulation inefficient once transferred onto the real system, remains a critical issue in Evolutionary Robotics (ER); it p...
Sylvain Koos, Jean-Baptiste Mouret, Stéphan...
ESA
2006
Springer
77views Algorithms» more  ESA 2006»
15 years 4 months ago
Traversing the Machining Graph
Abstract. Zigzag pocket machining (or 2D-milling) plays an important role in the manufacturing industry. The objective is to minimize the number of tool retractions in the zigzag m...
Danny Z. Chen, Rudolf Fleischer, Jian Li, Haitao W...
99
Voted
WSC
2007
15 years 3 months ago
American option pricing under stochastic volatility: a simulation-based approach
We consider the problem of pricing American options when the volatility of the underlying asset price is stochastic. No specific stochastic volatility model is assumed for the st...
Arunachalam Chockalingam, Kumar Muthuraman
116
Voted
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 1 months ago
Rank based variation operators for genetic algorithms
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Jorge Cervantes, Christopher R. Stephens