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» Genetic algorithms and the art of Zen
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EVOW
2001
Springer
14 years 3 months ago
Path Tracing in Genetic Algorithms Applied to the Multiconstrained Knapsack Problem
This contribution investigates the usefulness of F. Glover’s path tracing concept within a Genetic Algorithm context for the solution of the multiconstrained knapsack problem (MK...
Jens Levenhagen, Andreas Bortfeldt, Hermann Gehrin...
CEC
2008
IEEE
14 years 25 days ago
Efficient evolution of ART neural networks
Abstract-- Genetic algorithms have been used to evolve several neural network architectures. In a previous effort, we introduced the evolution of three well known ART architects; F...
Assem Kaylani, Michael Georgiopoulos, Mansooreh Mo...
GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
14 years 4 months ago
Choreogenetics: the generation of choreographic variants through genetic mutations and selection
In this paper, a genetic algorithm is introduced to generate variants of a choreographic sequence, which are then selected using different criteria. The mutation phase of the algo...
François-Joseph Lapointe
KES
1999
Springer
14 years 3 months ago
Parallel genetic algorithm taxonomy
—Genetic Algorithms (GAs) are powerful search techniques that are used to solve difficult problems in many disciplines. Unfortunately, they can be very demanding in terms of com...
Mariusz Nowostawski, Riccardo Poli
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 5 months ago
Inducing a generative expressive performance model using a sequential-covering genetic algorithm
In this paper, we describe an evolutionary approach to inducing a generative model of expressive music performance for Jazz saxophone. We begin with a collection of audio recordin...
Rafael Ramirez, Amaury Hazan