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» Using evolution strategies to solve DEC-POMDP problems
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GECCO
2005
Springer
103views Optimization» more  GECCO 2005»
14 years 1 months ago
Pricing the 'free lunch' of meta-evolution
A number of recent studies introduced meta-evolutionary strategies and successfully used them for solving problems in genetic programming. While individual results indicate possib...
Alexei V. Samsonovich, Kenneth A. De Jong
FLAIRS
2006
13 years 9 months ago
Machine Learning for Imbalanced Datasets: Application in Medical Diagnostic
In this paper, we present a new rule induction algorithm for machine learning in medical diagnosis. Medical datasets, as many other real-world datasets, exhibit an imbalanced clas...
Luis Mena, Jesus A. Gonzalez
IPPS
2008
IEEE
14 years 2 months ago
A study of master-slave approaches to parallelize NSGA-II
Many of the optimization problems from the real world are multiobjective in nature, and the reference algorithm for multiobjective optimization is NSGA-II. Frequently, these probl...
Juan José Durillo, Antonio J. Nebro, Franci...
BIRTHDAY
2005
Springer
14 years 1 months ago
Planning in Answer Set Programming using Ordered Task Decomposition
abstract. In this paper we investigate a formalism for solving planning problems based on ordered task decomposition using Answer Set Programming (ASP). Our planning methodology is...
Jürgen Dix, Ugur Kuter, Dana S. Nau
EMO
2009
Springer
140views Optimization» more  EMO 2009»
14 years 27 days ago
On Using Populations of Sets in Multiobjective Optimization
Abstract. Most existing evolutionary approaches to multiobjective optimization aim at finding an appropriate set of compromise solutions, ideally a subset of the Pareto-optimal se...
Johannes Bader, Dimo Brockhoff, Samuel Welten, Eck...