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GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
15 years 4 months ago
Informative performance metrics for dynamic optimisation problems
Existing metrics for dynamic optimisation are designed primarily to rate an algorithm’s overall performance. These metrics show whether one algorithm is better than another, but...
Stefan Bird, Xiaodong Li
GECCO
2007
Springer
129views Optimization» more  GECCO 2007»
15 years 4 months ago
Procreating V-detectors for nonself recognition: an application to anomaly detection in power systems
The artificial immune system approach for self-nonself discrimination and its application to anomaly detection problems in engineering is showing great promise. A seminal contribu...
Min Gui, Sanjoy Das, Anil Pahwa
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
15 years 4 months ago
A multimodal particle swarm optimizer based on fitness Euclidean-distance ratio
One of the most critical issues that remains to be fully addressed in existing multimodal evolutionary algorithms is the difficulty in pre-specifying parameters used for estimatin...
Xiaodong Li
GECCO
2007
Springer
234views Optimization» more  GECCO 2007»
15 years 4 months ago
Applying particle swarm optimization to software testing
Evolutionary structural testing is an approach to automatically generating test cases that achieve high structural code coverage. It typically uses genetic algorithms (GAs) to sea...
Andreas Windisch, Stefan Wappler, Joachim Wegener
68
Voted
GECCO
2007
Springer
392views Optimization» more  GECCO 2007»
15 years 4 months 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 diï...
Gustavo Reis, Francisco Fernández de Vega