Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Complexity of biological systems is one of the toughest problems for any experimental technique. Complex biochemical composition and a variety of biophysical interactions governing the evolution of a state of a biological system imply that the experimental response of the system would be superimposed of many different responses. To obtain a reliable characterization of such a system based on spin-label Electron Paramagnetic Resonance (EPR) spectroscopy, multiple Hybrid Evolutionary Optimization (HEO) combined with spectral simulation can be applied. Implemented as the GHOST algorithm this approach is capable of handling the huge solution space and provides an insight into the “quasicontinuous” distribution of parameters that describe the biophysical properties of an experimental system. Hover, the analysis procedure requires several hundreds of runs of the evolutionary optimization routine making this algorithm extremely computationally demanding. As only the best parameter sets from each run are assume...
['Aleh Kavalenka', 'Bogdan Filipič', 'Marcus A. Hemminga', 'Janez Strancar']
I am writing a research paper on a idea Speeding Up a Genetic Algorithm for EPR-Based Spin Label Characterization of Biosystem Complexity
[{"from": "human", "value": "I am writing a research paper on a idea Speeding Up a Genetic Algorithm for EPR-Based Spin Label Characterization of Biosystem Complexity"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Complexity of biological systems is one of the toughest problems for any experimental technique. Complex biochemical composition and a variety of biophysical interactions governing the evolution of a state of a biological system imply that the experimental response of the system would be superimposed of many different responses. To obtain a reliable characterization of such a system based on spin-label Electron Paramagnetic Resonance (EPR) spectroscopy, multiple Hybrid Evolutionary Optimization (HEO) combined with spectral simulation can be applied. Implemented as the GHOST algorithm this approach is capable of handling the huge solution space and provides an insight into the \u201cquasicontinuous\u201d distribution of parameters that describe the biophysical properties of an experimental system. Hover, the analysis procedure requires several hundreds of runs of the evolutionary optimization routine making this algorithm extremely computationally demanding. As only the best parameter sets from each run are assume..."}]