An Indexed Bibliography of Genetic Algorithms

Alander, Jarmo T.

doi:10.1201/9781420050073.ax1

Cited by 85 publications

(74 citation statements)

References 413 publications

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“…Although genetic algorithms have been employed for signal processing [1], the nature of music transcription problem is different to a standard signal processing, as we have explained before. We describe below our approach to the problem and the results.…”

Section: Experiments and Resultsmentioning

confidence: 99%

Electronic synthesis using genetic algorithms for automatic music transcription

Reis

Vega

2007

Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation

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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 different techniques have been applied before, evolutionary algorithms have never been considered when addressing this problem. By means of a series of steps, we show that a polyphonic MIDI file -containing instrument's partiturescan be automatically generated from an audio recording, by extracting and separating simultaneous notes. The results obtained shows the feasibility of the approach.

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Section: Experiments and Resultsmentioning

confidence: 99%

Electronic synthesis using genetic algorithms for automatic music transcription

Reis

Vega

2007

Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation

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“…The treatment of equality constraints is also not well established in G.A. Alander (1996) has presented a bibliography of genetic algorithm in the power systems. GA has been widely used in the power system.…”

Section: Genetic Algorithmsmentioning

confidence: 99%

Application of computational intelligence in emerging power systems

Saxena¹,

Singh

Verma³

2010

Int. J. Eng. Sci. Tech

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Electric power systems, around the world, are changing in terms of structure, operation, management and ownership due to technical, financial and ideological reasons. Power system keeps on expanding in terms of geographical areas, assets additions, and penetration of new technologies in generation, transmission and distribution. This makes the electric power system complex, heavily stressed and thereby vulnerable to cascade outages. The conventional methods in solving the power system design, planning, operation and control problems have been very extensively used for different applications but these methods suffer from several difficulties due to necessities of derivative existence, providing suboptimal solutions, etc. Computation intelligent (CI) methods can give better solution in several conditions and are being widely applied in the electrical engineering applications. This paper highlights the application of computational intelligence methods in power system problems. Various types of CI methods, which are widely used in power system, are also discussed in the brief.

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“…More recently, efforts to apply adaptive technologies such as genetic algorithms and simulated annealing techniques to the adaptation of a neural network architecture have been explored [Alander 2001]. Other researchers have attempted comprehensive strategies, such as the Adaptive Learning by Evolutionary Computation system [Abraham 2001], an automatic computational framework for optimizing neural networks wherein the neural network structure and the learning algorithms are adapted according to the problem.…”

Section: Adaptive Neural Network Architectures: a Primermentioning

confidence: 99%

Methods and Procedures for the Verification and Validation of Artificial Neural Networks

Taylor¹

2006

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An Indexed Bibliography of Genetic Algorithms

Cited by 85 publications

References 413 publications

Electronic synthesis using genetic algorithms for automatic music transcription

Electronic synthesis using genetic algorithms for automatic music transcription

Application of computational intelligence in emerging power systems

Methods and Procedures for the Verification and Validation of Artificial Neural Networks

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