Abstract The dependently of the electrical grid is critical key point to safety of the nuclear research reactor (NRR) operation. This paper provides an optimization approach relying on optimal allocation of UPFC device to obtain higher electrical power quality of such nuclear facilities. The particle swarm optimization (PSO) technique was used to address the optimal UPFC allocation problem. The suggested approach is applied to the IEEE 33-bus test system, and results reveal that the suggested PSO is more efficient in minimizing total power losses and enhancing voltage profile using only one of UPFC device. The results show the technique is good method in this case.

A sustainable solution to ensure the dependently and safety of electrical grid relying on optimal allocation of UPFC for research reactor

Generation-based parallel particle swarm optimization for adversarial text attacks

This paper investigates parallel particle swarm optimization (parallel PSO) and mathematical morphology (MM) for classification of very high resolution (VHR) remote sensing images. The proper extraction of spatial features depends on the shape and size of the structuring element (SE) used to probe the image. However, finding the best shape and size of the SE for classification of urban remote sensing imagery is a challenging research topic, because the formats of the features may become more and more complex. For this purpose, this paper proposes a new adaptive algorithm based on the combination of parallel PSO with MM for the construction of adaptive SEs. Such that the shapes and sizes of the constructed SEs change adaptively according to the spatial features of the image and the considered classification task. As a result, the application of parallel PSO reduces the execution time compared to serial PSO, and makes the proposed algorithm can adopt several SEs simultaneously for image classification without complicating the main PSO algorithm. Finally, an experimental example is conducted to show the effectiveness of the proposed algorithms.

Ali Alouache

Papers

Parallel Particle Swarm Optimization Algorithm for Classification of Very High Resolution Images Based on Mathematical Morphology