Threshold Selection, Mitosis and Dual Mutation in Cooperative Co-evolution: Application to Medical 3D Tomography [chapter]

Franck P. Vidal, Evelyne Lutton, Jean Louchet, Jean-Marie Rocchisani
2010 Parallel Problem Solving from Nature, PPSN XI  
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
more » ... 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.
doi:10.1007/978-3-642-15844-5_42 dblp:conf/ppsn/VidalLLR10 fatcat:petbckekt5cvvdvbtldunvlgmu