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KES
1999
Springer
14 years 21 days ago
Dynamic Demes parallel genetic algorithm
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
Mariusz Nowostawski, Riccardo Poli
BMCBI
2007
161views more  BMCBI 2007»
13 years 8 months ago
Efficient classification of complete parameter regions based on semidefinite programming
Background: Current approaches to parameter estimation are often inappropriate or inconvenient for the modelling of complex biological systems. For systems described by nonlinear ...
Lars Kuepfer, Uwe Sauer, Pablo A. Parrilo
GECCO
2005
Springer
118views Optimization» more  GECCO 2005»
14 years 1 months ago
The Push3 execution stack and the evolution of control
The Push programming language was developed for use in genetic and evolutionary computation systems, as the representation within which evolving programs are expressed. It has bee...
Lee Spector, Jon Klein, Maarten Keijzer
ICNC
2009
Springer
14 years 3 months ago
Estimating Strength of Concrete Using a Grammatical Evolution
The main purpose of this paper is to propose an incorporating a grammatical evolution (GE) into the genetic algorithm (GA), called GEGA, and apply it to estimate the compressive s...
Hsun-Hsin Hsu, Li Chen, Chang-Huan Kou, Tai-Sheng ...
C3S2E
2008
ACM
13 years 9 months ago
Concurrent software engineering: preparing for paradigm shift
Software systems bridge the gap between information processing needs and available computer hardware. As system requirements grow in complexity and hardware evolves, the gap does ...
Peter Grogono, Brian Shearing