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» Evolutionary Neuroestimation of Fitness Functions
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EVOW
2003
Springer
13 years 12 months ago
Evolutionary Music and the Zipf-Mandelbrot Law: Developing Fitness Functions for Pleasant Music
Abstract. A study on a 220-piece corpus (baroque, classical, romantic, 12tone, jazz, rock, DNA strings, and random music) reveals that aesthetically pleasing music may be describab...
Bill Z. Manaris, Dallas Vaughan, Christopher Wagne...
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
13 years 10 months ago
Selecting for evolvable representations
Evolutionary algorithms tend to produce solutions that are not evolvable: Although current fitness may be high, further search is impeded as the effects of mutation and crossover ...
Joseph Reisinger, Risto Miikkulainen
CEC
2007
IEEE
14 years 1 months ago
N-gram fitness function with a constraint in a musical evolutionary system
—This paper describes an evolutionary music composition system that combines trainable music critics with a bag of notes constraint. Unlike many evolutionary composition systems,...
Man Yat Lo, Simon M. Lucas
CEC
2007
IEEE
14 years 1 months ago
Non-separable fitness functions for evolutionary shape optimization benchmarking
—Target shape matching can be used as a quick and easy surrogate task when evaluating optimization algorithms intended for computationally expensive tasks, such as turbine blade ...
Tim A. Yates, Thorsten Schnier
GECCO
2003
Springer
13 years 12 months ago
DNA-Like Genomes for Evolution in silico
We explore the advantages of DNA-like genomes for evolutionary computation in silico. Coupled with simulations of chemical reactions, these genomes offer greater efficiency, reliab...
Michael West, Max H. Garzon, Derrel Blain