`` Direct Search'' Solution of Numerical and Statistical Problems
Journal of the ACM (JACM)
Communications of the ACM
Evolution strategies –A comprehensive introduction
Natural Computing: an international journal
Journal of Global Optimization
Completely Derandomized Self-Adaptation in Evolution Strategies
Evolutionary Computation
Towards evolutionary network reconstruction tools for systems biology
EvoBIO'07 Proceedings of the 5th European conference on Evolutionary computation, machine learning and data mining in bioinformatics
Component-based construction of bio-pathway models: The parameter estimation problem
Theoretical Computer Science
Hi-index | 0.00 |
A fundamental problem of modelling in Systems Biology is to precisely characterise quantitative parameters, which are hard to measure experimentally. For this reason, it is common practise to estimate these parameter values, using evolutionary and other techniques, by fitting the model behaviour to given data. In this contribution, we extensively investigate the influence of exponentially scaled search steps on the performance of two evolutionary and one deterministic technique; namely CMA-Evolution Strategy, Differential Evolution, and the Hooke-Jeeves algorithm, respectively. We find that in most test cases, exponential scaling of search steps significantly improves the search performance for all three methods.