The structures of biochemical pathways are assumed to be determined by evolutionary optimization processes. In the framework of mathematical models, these structures should be explained by the formulation of optimization principles. In the present work, the principle of minimal total enzyme concentration at fixed steady state fluxes is applied to metabolic networks. According to this principle ...

We introduce a binary, relaxed gradient, trust-region method for optimizing pulse sequences single flux quanta control of quantum computer. The are optimized with the goal realizing unitary gate transformations. Each has fixed amplitude and duration. model this process as binary optimal problem, constrained by Schrödinger’s equation, where variables indicate whether each is on or off. first-ord...

Using a set of 28 high resolution, high signal to noise ratio (S/N) QSO Lyα absorption spectra, we investigate the non-Gaussian features of the transmitted flux fluctuations, and their effect upon the power spectrum of this field. We find that the spatial distribution of the local power of the transmitted flux on scales k ≥ 0.05 s/km is highly spiky or intermittent. The probability distribution...

The satisfaction of electricity customers and environmental constraints imposed have made the trend towards renewable energies more essential given its advantages such as reducing power losses enhancing voltage profiles. This study addresses optimal sizing setting Photovoltaic Distributed Generator (PVDG) connected to Radial Distribution Network (RDN) using various novel optimization algorithms...

In this paper proposes a fuzzy multi-objective hybrid Genetic and Bee colony optimization algorithm(GA-BCO) to find the optimal restoration of loads of power distribution network under fault.Restoration of distribution systems is a complex combinatorial optimization problem that should beefficiently restored in reasonable time. To improve the efficiency of restoration and facilitate theactivity...