The gains of this technique have been enhanced utilizing the snake optimization (SO) algorithm. This converter exhibits unfavourable behaviour due to its non-minimum structure, necessitating a well-regulated controller to guarantee stability. The fractional concept is suggested here to enhance the ...
The snake optimizer (SO) is a highly efficient bio-inspired algorithm for solving continuous optimization problems. This algorithm mathematically simulates the unique foraging and mating behaviors observed in snake populations in nature. However, this algorithm cannot be directly applied to solve binary ...
Fatahi, A., Nadimi-Shahraki, M.H. & Zamani, H. An Improved Binary Quantum-based Avian Navigation Optimizer Algorithm to Select Effective Feature Subset from Medical Data: A COVID-19 Case Study.J Bionic Eng21, 426–446 (2024). https://doi.org/10.1007/s42235-023-00433-y Download citatio...
The proposed method, based on enhanced intelligent scissors (EIS), can be divided into three main steps: the initial pre-processing step, during which morphological operators, filtering, and an equalization were applied; the application of an EIS algorithm to extract the outermost layers of the ...
(2019) proposed a fully convolutional encoder-decoder network named as Enhanced Skip Network. The model had multiple VGGNet-like blocks in the encoder and decoder. However, the decoder part had fewer future maps to reduce the computational complexity and memory requirement. Besides, the skip ...
Additionally, a variable helix sine–cosine algorithm is introduced to improve its exploitation ability. By leveraging the development capability of the sine–cosine algorithm, the enhanced algorithm strengthens its ability to search for local extrema and escape local optima. The variable helix acts on...
To validate the convergence of the IDBO algorithm, this paper selects Dung Beetle Optimizer (DBO), Football Team Training Algorithm (FTTA), Zebra Optimization Algorithm (ZOA), Snake Optimizer (SO), and Artificial Rabbits Optimization (ARO) for comparison. To ensure the comparability of experimental...
This work proposes a dual-mutation mechanism-driven snake optimizer for scheduling multiple workflows in the cloud for minimizing the makespan of each workflow under user pre-defined budget constraints. Firstly, a continuous optimization algorithm , namely Snake Optimizer (SO) is adopted into discrete ...
AdaGrad as optimizer - Xavier initialization to initialize weights DICE score of 0.86 (Thong et al., 2016) Anonymized data from 79 patients No Contrast-enhanced CT - A proposed CNN architecture learned patch-wise (2 convolutional layers followed by maxpooling layer and 2 fully connected layers) ...
Improved corona-virus herd immunity optimizer algorithm 1. Introduction Thedistribution networkis an important part of thepower systemand is very important to meet the needs of electricity customers. The complexity, dispersion, and proximity to consumption location have made this part so important that...