论文信息 - NEW MIGRATION SCHEME FOR PARALLEL DIFFERENTIAL EVOLUTION

NEW MIGRATION SCHEME FOR PARALLEL DIFFERENTIAL EVOLUTION

*SUMMARY Motivation: Modern molecular biology has massive amounts of quantitative data already at its disposal. The crucially important problem for getting closer insights into mechanisms of development is to reduce the complexity of finding the parameters of mathematical models by fitting to experimental data. Parallel Differential Evolution is the modern optimization technique that posses natural parallelization. Results: The new migration scheme for Parallel Differential Evolution has been developed that showed high speed of convergence on the test problem. The dependency of the accuracy of the final result on the period of communication between branches was analyzed. Availability: available on request from the authors.

A. F. Ioffe | Konstantin Kozlov | Alexander M. Samsonov

[1] David H. Sharp,et al. Dynamic control of positional information in the early Drosophila embryo , 2004, Nature.

[2] Johannes Jaeger,et al. Pattern formation and nuclear divisions are uncoupled in Drosophila segmentation: comparison of spatially discrete and continuous models , 2004 .

[3] Dimitris K. Tasoulis,et al. Parallel differential evolution , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

[4] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..

[5] Alexander M. Samsonov,et al. New data processing technique based on the optimal control theory , 2003 .

[6] David H. Sharp,et al. Mechanism of eve stripe formation , 1995, Mechanisms of Development.