One of the most powerful tools for solving optimization problems is algorithms (inspired by nature) based on populations. These provide a solution to problem randomly searching in search space. The design’s central idea derived from various natural phenomena, behavior and living conditions organisms, laws physics, etc. A new population-based algorithm called Binary Spring Search Algorithm (BSSA...

We apply digitized quantum annealing (QA) and approximate optimization algorithm (QAOA) to a paradigmatic task of supervised learning in artificial neural networks: the synaptic weights for binary perceptron. At variance with usual QAOA applications MaxCut, or spin-chains ground-state preparation, here classical cost function is characterized by highly nonlocal multispin interactions. Yet, we p...

End-to-end obstacle avoidance path planning for intelligent vehicles has been a widely studied topic. To resolve the typical issues of solving algorithms, which are weak global optimization ability, ease in falling into local and slow convergence speed, an efficient method is proposed this paper, based on whale algorithm. We present adaptive adjustment mechanism can dynamically modify search be...

in this paper, an efficient and comprehensive hybrid intelligent technique for the optimal placement of phasor measurement units (pmus) is proposed to minimize the number of pmu installation subjected to full network observability. three main purposes of pmus output synchronous measurements are monitoring, control, and protection of power system. we have combined binary imperialistic competitio...

Real-time estimation of transmission line (TL) parameters is essential for proper management and distribution networks. These can be used to detect incipient faults within the hence avoid any potential consequences. While some attempts found in literature estimate TL parameters, presented techniques are either complex or impractical. Moreover, none published so far implemented real time. This p...

HIGHLIGHTS Novel whale optimization algorithm is proposed for prediction of breast cancer. Deep learning-based WOA adjusts the CNN structure as per maximum detection accuracy. Proposed method achieves 92.4% accuracy in comparison to 90.3%. Validity evaluated with magnifying factors like 40x, 100 x, 200x, 400x.

Due to the users’ mobility, new online applications, as well low processing power and limited energy of smart devices, traditional cloud computing models could not provide required services. Cloud service providers improve quality their services by moving some servers edge network closer mobile users. Considering nature users heterogeneous demands in different areas, optimal placement plays an ...