Nowadays, the core of the Particle Swarm Optimization (PSO) algorithm has proved to be reliable. However, faced with multi-objective problems, adaptations are needed. Deeper researches must be conducted on its key steps, such as solution set management and guide selection, in order to improve its efficiency in this context. Indeed, numerous parameters and implementation strategies can impact on...

Abstract Cloud resource demands, especially some unclear and emergent are growing rapidly with the development of cloud computing, big data artificial intelligence. The traditional allocation methods do not support mode in guaranteeing timeliness optimization allocation. This paper proposes a algorithm for demands computing. After building priority matching distances performance proportion to r...

Today, planning and scheduling problems are the most significant issues in world make a great impact on improving organizational productivity serving systems such as medical healthcare providers. Since operating room is major problem organizations, optimization of staff equipment plays an essential role. Thus, this study presents multi-objective mathematical model with new categorization (preop...

Bioenergy is attracting more attention worldwide due to its environmental and economic benefits. The design of a feasible biodiesel supply chain network can effectively improve the production use then further promote development industry. As an easy recyclable material with high yield, kitchen waste has good prospect solve public health safety problems. This paper takes producing as object opti...

In the coming years, the frequency of unauthorised genetically modified organisms (GMOs) being present in the European food and feed chain will increase significantly. Therefore, we have developed a strategy to identify unauthorised GMOs containing a pCAMBIA family vector, frequently present in transgenic plants. This integrated approach is performed in two successive steps on Bt rice grains. F...

The rapid increase in the number of genetically modified (GM) varieties has led to a demand for high-throughput methods to detect genetically modified organisms (GMOs). We describe a new dynamic array-based high throughput method to simultaneously detect 48 targets in 48 samples on a Fludigm system. The test targets included species-specific genes, common screening elements, most of the Chinese...

Two new 5-oxomilbemycins, 27-aldehyde-5-oxomilbemycin β12 (1) and 2-hydroxymilbemycin K (2), were isolated from a genetically engineered strain Streptomyces bingchenggensis BCJ60. Their structures were determined by comprehensive analyses of its 1 H and 13 C NMR, COSY, HMQC, and HMBC spectroscopic, HRESI-MS mass spectrometric and comparison with data from the literature. Preliminary studies sho...

Biosafety of genetically modified organisms (GMOs) and their derivatives is still a major topic in the agenda of government and societies worldwide. The aim of this review is to bring into light that data that supported the decision taken back in 1998 as an exercise to stimulate criticism from the scientific community for upcoming discussions and to avoid emotional and senseless arguments that ...