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» Using evolution strategies to solve DEC-POMDP problems
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AAAI
1994
13 years 9 months ago
GENET: A Connectionist Architecture for Solving Constraint Satisfaction Problems by Iterative Improvement
New approaches to solving constraint satisfaction problems using iterative improvement techniques have been found to be successful on certain, very large problems such as the mill...
Andrew J. Davenport, Edward P. K. Tsang, Chang J. ...
AIR
2005
98views more  AIR 2005»
13 years 7 months ago
Evolving Dynamic Multi-Objective Optimization Problems with Objective Replacement
This paper studies the strategies for multi-objective optimization in a dynamic environment. In particular, we focus on problems with objective replacement, where some objectives ...
Sheng Uei Guan, Qian Chen, Wenting Mo
CEC
2008
IEEE
14 years 2 months ago
Scalarization versus indicator-based selection in multi-objective CMA evolution strategies
Abstract—While scalarization approaches to multicriteria optimization become infeasible in the case of many objectives, for few objectives the benefits of populationbased method...
Thomas Voß, Nicola Beume, Günter Rudolp...
CEC
2009
IEEE
14 years 2 months ago
Particle Swarm CMA Evolution Strategy for the optimization of multi-funnel landscapes
— We extend the Evolution Strategy with Covariance Matrix Adaptation (CMA-ES) by collaborative concepts from Particle Swarm Optimization (PSO). The proposed Particle Swarm CMA-ES...
Christian L. Müller, Benedikt Baumgartner, Iv...
TKDE
2002
91views more  TKDE 2002»
13 years 7 months ago
The EVE Approach: View Synchronization in Dynamic Distributed Environments
The construction and maintenance of data warehouses (views) in large-scale environments composed of numerous distributed and evolving information sources (ISs) such as the WWW has ...
Amy J. Lee, Anisoara Nica, Elke A. Rundensteiner