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GECCO
2007
Springer
392views Optimization» more  GECCO 2007»
16 years 23 days ago
Electronic synthesis using genetic algorithms for automatic music transcription
This paper presents a novel approach to the problem of automatic music transcription using electronic synthesis with genetic algorithms. Although the problem is well known and diļ...
Gustavo Reis, Francisco Fernández de Vega
CEC
2010
IEEE
15 years 7 months ago
Functionalization of microarray devices: Process optimization using a multiobjective PSO and multiresponse MARS modeling
An evolutionary approach for the optimization of microarray coatings produced via sol-gel chemistry is presented. The aim of the methodology is to face the challenging aspects of t...
Laura Villanova, Paolo Falcaro, Davide Carta, Iren...
EVOW
2006
Springer
15 years 10 months ago
Fast EAX Algorithm Considering Population Diversity for Traveling Salesman Problems
This paper proposes an evolutionary algorithm (EA) that is applied to the traveling salesman problem (TSP). Existing approximation methods to address the TSP known to be state-of-t...
Yuichi Nagata
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
16 years 1 days ago
Optimization of passenger car design for the mitigation of pedestrian head injury using a genetic algorithm
The problem of pedestrian injury is a significant one throughout the world. In 2001, there were 4724 pedestrian fatalities in Europe and 4882 in the US. Significant advances have ...
Emma Carter, Steve Ebdon, Clive Neal-Sturgess
GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
16 years 1 days ago
Genetic algorithms using low-discrepancy sequences
The random number generator is one of the important components of evolutionary algorithms (EAs). Therefore, when we try to solve function optimization problems using EAs, we must ...
Shuhei Kimura, Koki Matsumura