Numerical Optimization of Computer Models
Numerical Optimization of Computer Models
Evolution strategies –A comprehensive introduction
Natural Computing: an international journal
Setting The Mutation Rate: Scope And Limitations Of The 1/L Heuristic
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Stereo Analysis Using Individual Evolution Strategy
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Issues on the optimisation of evolutionary algorithms code
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
An overview of evolutionary algorithms for parameter optimization
Evolutionary Computation
Fully three-dimensional tomographic evolutionary reconstruction in nuclear medicine
EA'07 Proceedings of the Evolution artificielle, 8th international conference on Artificial evolution
Artificial evolution for 3D PET reconstruction
EA'09 Proceedings of the 9th international conference on Artificial evolution
New genetic operators in the fly algorithm: application to medical PET image reconstruction
EvoApplicatons'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I
Combining mutation operators in evolutionary programming
IEEE Transactions on Evolutionary Computation
Parameter control in evolutionary algorithms
IEEE Transactions on Evolutionary Computation
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We present and analyse the behaviour of specialised operators designed for cooperative coevolution strategy in the framework of 3D tomographic PET reconstruction. The basis is a simple cooperative co-evolution scheme (the "fly algorithm"), which embeds the searched solution in the whole population, letting each individual be only a part of the solution. An individual, or fly, is a 3D point that emits positrons. Using a cooperative co-evolution scheme to optimize the position of positrons, the population of flies evolves so that the data estimated from flies matches measured data. The final population approximates the radioactivity concentration. In this paper, three operators are proposed, threshold selection, mitosis and dual mutation, and their impact on the algorithm efficiency is experimentally analysed on a controlled test-case. Their extension to other cooperative co-evolution schemes is discussed.