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» Using evolution strategies to solve DEC-POMDP problems
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EMO
2006
Springer
161views Optimization» more  EMO 2006»
13 years 11 months ago
Design Issues in a Multiobjective Cellular Genetic Algorithm
In this paper we study a number of issues related to the design of a cellular genetic algorithm (cGA) for multiobjective optimization. We take as an starting point an algorithm fol...
Antonio J. Nebro, Juan José Durillo, Franci...
GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
14 years 1 months ago
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
Paulito P. Palmes, Taichi Hayasaka, Shiro Usui
CEC
2009
IEEE
14 years 2 months ago
Differential Evolution with Laplace mutation operator
— Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ra...
Millie Pant, Radha Thangaraj, Ajith Abraham, Crina...
CSCLP
2004
Springer
14 years 1 months ago
Characterization of a New Restart Strategy for Randomized Backtrack Search
We propose an improved restart strategy for randomized backtrack search, and evaluate its performance by comparing to other heuristic and stochastic search techniques for solving r...
Venkata Praveen Guddeti, Berthe Y. Choueiry
CPHYSICS
2007
103views more  CPHYSICS 2007»
13 years 8 months ago
Algorithms for the evolution of electronic properties in nanocrystals
We illustrate recent progress in developing algorithms for solving the Kohn-Sham problem. Key ingredients of our algorithm include pseudopotentials implemented on a real space gri...
James R. Chelikowsky, Murilo L. Tiago, Yousef Saad...