Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Application of optimization techniques to parameter set-up in scheduling
Computers in Industry
Advances in Engineering Software - Special issue on evolutionary optimization of engineering problems
Multi-sensor fusion: an Evolutionary algorithm approach
Information Fusion
Genetic algorithms in classifier fusion
Applied Soft Computing
Engineering Applications of Artificial Intelligence
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Information fusion systems are complex systems with many parameters that must be adjusted to obtain interesting results. Generally applied in specialized domains such as military, medical and industrial areas, these systems must work in collaboration with the experts of the domains. As these end-users are not specialists in information fusion, the parameters adjustment becomes a difficult task. In addition, to find a good set of those parameters is a hard and time consuming process as the search space is very large. In order to overcome this issue a genetic algorithm is applied to automatically search the best parameter set. The results show that the proposed approach produces accurate levels of the global performance of the fusion system.