Abstract A crucial problem in achieving innovative high-throughput materials growth with machine learning, such as Bayesian optimization (BO), and automation techniques has been a lack of an appropriate way to handle missing data due experimental failures. Here, we propose BO algorithm that complements the optimizing parameters. The proposed method provides flexible searches wide multi-dimensio...

Article history: Received 8 December 2015 Received in revised form 5 November 2016 Accepted 11 November 2016 Available online xxxx Delimiting urban growth boundaries (UGBs) has been generally regarded as a regulatorymeasure for controlling chaotic urban expansion. There are increasing demands for delimiting urban growth boundaries in fast growing regions in China. However, existingmethods for d...

Economic growth in China is accompanied by many problems, such as rapid deterioration of the environment and a sharp decline in the area of arable land. China’s current land-use planning system fails to deal with these problems, especially at the regional level. The lack of sustainable spatial allocation at regional level has become a pressing problem. This article aims to: (1) analyze the reas...

The industrial exploitation of microalgae is characterized by the production of high-value compounds. Optimization of the performance of microalgae culture systems is essential to render the process economically viable. For raceway systems, the optimization based on optimal control theory is rather challenging, because the process is by essence periodically forced and, as a consequence, optimiz...

The search for optimization principles in microbial metabolism, such as biomass or ATP yields or growth rate optimization, has attracted substantial research efforts in the recent years. Here we use the results of C13 labeling experiments together with genome scale metabolic networks of S cerevisiae and E coli in order to assess if there are relationships between systemic variables that are pre...

The singular vectors of a chemical transport model are the directions of maximum perturbation growth over a finite time interval. They have proved useful for the estimation of error growth, the initialization of ensemble forecasts, and the optimal placement of adaptive observations. The aim of this paper is to address computational aspects of singular vector analysis for atmospheric chemical tr...

the limitation of energy resources and its considerable consumption growth in iran has doubled the necessity of optimization and conservation of energy in the country compared to the average consumption rate of energy in the world and also because of high consumption rate's adverse effects in the environment. heating systems are among the main consumers of energy and using a high efficienc...

Using a nonmodal decomposition technique based on the potential vorticity (PV) perspective, the optimal perturbation or singular vector (SV) of the Eady model without upper rigid lid is studied for a kinetic energy norm. Special emphasis is put on the role of the continuum modes (CM) in the structure of the SV and on the importance of resonance to the SV evolution. The basis for the SV is forme...

Research in software testing has experienced a significant growth in recent years. One topic of special interest is fault detection techniques to reduce human interference and detect maximum faults. Priority is given to these techniques so that only higher priority techniques should be used instead of using individual techniques of lower priority. Bee Colony Optimization based upon natural phen...

in this article, multiple-product pvrp with pickup and delivery that is used widely in goods distribution or other service companies, especially by railways, was introduced. a mathematical formulation was provided for this problem. each product had a set of vehicles which could carry the product and pickup and delivery could simultaneously occur. to solve the problem, two meta-heuristic methods...