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» Iterative Filter Generation Using Genetic Programming
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GECCO
2009
Springer
164views Optimization» more  GECCO 2009»
13 years 3 months ago
Solving iterated functions using genetic programming
An iterated function f(x) is a function that when composed with itself, produces a given expression f(f(x))=g(x). Iterated functions are essential constructs in fractal theory and...
Michael D. Schmidt, Hod Lipson
ISCAS
1999
IEEE
82views Hardware» more  ISCAS 1999»
13 years 10 months ago
Synthesis of low coefficient sensitivity digital filters using genetic programming
This paper proposes a new approach to the synthesis of low coefficient sensitivity digital filters using Genetic Programming (GP). GP is applied to the synthesis problem by establi...
K. Uesaka, M. Kawamata
SIAMSC
2008
147views more  SIAMSC 2008»
13 years 6 months ago
Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs
We present a two-phase algorithm for solving large-scale quadratic programs (QPs). In the first phase, gradient-projection iterations approximately minimize an augmented Lagrangian...
Michael P. Friedlander, Sven Leyffer
GECCO
2000
Springer
122views Optimization» more  GECCO 2000»
13 years 9 months ago
Genetic Programming with Statically Scoped Local Variables
This paper presents an extension to genetic programming to allow the evolution of programs containing local variables with static scope which obey the invariant that all variables...
Evan Kirshenbaum
RAS
2000
130views more  RAS 2000»
13 years 5 months ago
Allocating optimal index positions on tool magazines using genetic algorithms
This paper presents an optimisation system software developed for the determination of optimal index positions of cutting tools on the automatic tool changer (ATC) or turret magaz...
Türkay Dereli, I. Hüseyin Filiz