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» Hybrid Optimizations: Which Optimization Algorithm to Use
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GECCO
2004
Springer
144views Optimization» more  GECCO 2004»
14 years 3 months ago
Feature Subset Selection, Class Separability, and Genetic Algorithms
Abstract. The performance of classification algorithms in machine learning is affected by the features used to describe the labeled examples presented to the inducers. Therefore,...
Erick Cantú-Paz
DAC
1998
ACM
14 years 2 months ago
Synthesis of Power-Optimized and Area-Optimized Circuits from Hierarchical Behavioral Descriptions
We present a technique for synthesizing power- as well as area-optimized circuits from hierarchical data flow graphs under throughput constraints. We allow for the use of complex...
Ganesh Lakshminarayana, Niraj K. Jha
GECCO
2007
Springer
532views Optimization» more  GECCO 2007»
14 years 4 months ago
Evolving evolutionary algorithms using evolutionary algorithms
A new model for automatic generation of Evolutionary Algorithms (EAs) by evolutionary means is proposed in this paper. The model is based on a simple Genetic Algorithm (GA). Every...
Laura Diosan, Mihai Oltean
NCA
2007
IEEE
13 years 9 months ago
Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs
Designing drugs is a current problem in the pharmaceutical research. By designing a drug we mean to choose some variables of drug formulation (inputs), for obtaining optimal charac...
Ajith Abraham, Crina Grosan, Stefan Tigan
NC
2002
210views Neural Networks» more  NC 2002»
13 years 10 months ago
Recent approaches to global optimization problems through Particle Swarm Optimization
This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detectin...
Konstantinos E. Parsopoulos, Michael N. Vrahatis