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CEC
2005
IEEE
14 years 3 months ago
A model-based evolutionary algorithm for bi-objective optimization
Abstract- The Pareto optimal solutions to a multiobjective optimization problem often distribute very regularly in both the decision space and the objective space. Most existing ev...
Aimin Zhou, Qingfu Zhang, Yaochu Jin, Edward P. K....
GECCO
2005
Springer
170views Optimization» more  GECCO 2005»
14 years 3 months ago
Multiobjective shape optimization with constraints based on estimation distribution algorithms and correlated information
A new approach based on Estimation Distribution Algorithms for constrained multiobjective shape optimization is proposed in this article. Pareto dominance and feasibility rules ar...
Sergio Ivvan Valdez Peña, Salvador Botello ...
TNN
2008
181views more  TNN 2008»
13 years 10 months ago
Optimized Approximation Algorithm in Neural Networks Without Overfitting
In this paper, an optimized approximation algorithm (OAA) is proposed to address the overfitting problem in function approximation using neural networks (NNs). The optimized approx...
Yinyin Liu, Janusz A. Starzyk, Zhen Zhu
HPCN
1997
Springer
14 years 2 months ago
A Distributed Algorithm for Optimal Concurrent Communication and Load Balancing in Parallel Systems
We present a distributed algorithm for determining optimal concurrent communication ow in arbitrary computer networks. Our scheme is applicable to a wide range of network ow applic...
Uwe Dralle, Alexander Reinefeld
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
14 years 4 months ago
Genetic algorithms for large join query optimization
Genetic algorithms (GAs) have long been used for large join query optimization (LJQO). Previous work takes all queries as based on one granularity to optimize GAs and compares the...
Hongbin Dong, Yiwen Liang