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» Applying particle swarm optimization to software testing
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SYNASC
2005
IEEE
110views Algorithms» more  SYNASC 2005»
15 years 5 months ago
Performance Tuning of Evolutionary Algorithms Using Particle Sub Swarms
Particle Swarm Optimization (PSO) technique proved its ability to deal with very complicated optimization and search problems. This paper proposes a new particle swarm variant whi...
Crina Grosan, Ajith Abraham, Monica Nicoara
ICIC
2009
Springer
14 years 9 months ago
Inference of Differential Equation Models by Multi Expression Programming for Gene Regulatory Networks
This paper presents an evolutionary method for identifying the gene regulatory network from the observed time series data of gene expression using a system of ordinary differential...
Bin Yang, Yuehui Chen, Qingfang Meng
EUROGP
2004
Springer
135views Optimization» more  EUROGP 2004»
15 years 5 months ago
Reusing Code in Genetic Programming
Abstract. In this paper we propose an approach to Genetic Programming based on code reuse and we test it in the design of combinational logic circuits at the gate-level. The circui...
Edgar Galván López, Riccardo Poli, C...
JGO
2010
121views more  JGO 2010»
14 years 10 months ago
The oracle penalty method
A new and universal penalty method is introduced in this contribution. It is especially intended to be applied in stochastic metaheuristics like genetic algorithms, particle swarm...
Martin Schlüter, Matthias Gerdts
ISCAS
2005
IEEE
114views Hardware» more  ISCAS 2005»
15 years 5 months ago
Structured stochastic optimization strategies for problems with ill-conditioned error surfaces
—This paper compares the performance of several structured optimization strategies in adaptive signal processing problems that are characterized by ill-conditioned error surfaces...
S. Pal, Dean J. Krusienski, W. Kenneth Jenkins