The main drawback of the standard ChOA and the weighted chimp optimization algorithm (WChOA) is they can be trapped in local optima because most of the solutions update their positions based on the position of the four leader solutions in the population. In the prop...
The process of selecting a set of hyperparameters that yield optimal performance for the Long Short-Term Memory (LSTM) model on the given data is referred to as Hyperparameter Optimization (HPO). In this work, the Chimp Optimization Algorithm (ChoA) is employed to determine the best values fo...
Chimp optimization algorithm (ChoA) has a wholesome attitude roused by chimp’s amazing thinking and hunting ability with a sensual movement for finding the optimal solution in the global search space. Classical Chimps optimizer algorithm has poor convergence and has problem to stuck into local minima...
Cai C, Gou B, Khishe M, Mohammadi M, Rashidi S, Moradpour R, Mirjalili S (2023) Improved deep convolutional neural networks using chimp optimization algorithm for covid19 diagnosis from the x-ray images. Exp Syst Appl 213:119206 Google Scholar Canayaz M (2021) Mh-covidnet: Diagnosis...
We conduct a comprehensive, component-based analysis of the highly cited chimp optimization algorithm (ChOA). Aside from disassembling ChOA into its constituent elements and establishing connections with analogous components in existing methodologies like particle swarm optimization, we scrutinize the applicati...
our proposed framework introduces a novel hybrid model, IChOA-CNN-LSTM, which leverages Convolutional Neural Networks (CNNs) for precise image feature extraction, Long Short-Term Memory (LSTM) networks for sequential data analysis, and an Improved Chimp Optimization Algorithm for effective feature fusi...
Intrusion detection systems in the cloud computing: A comprehensive and deep literature review 2022, Concurrency and Computation: Practice and Experience A Weighted Chimp Optimization Algorithm 2021, IEEE Access View all citing articles on ScopusView full text ...
Evolving chimp optimization algorithm using quantum mechanism for engineering applications: a case study on fire detectionfire detectionchimp optimization algorithmengineering applicationquantum mechanismThis paper introduces the Quantum Chimp Optimization Algorithm (QU-ChOA), which integrates the ...
The efficient maximum iteration of an algorithm is defined as the maximum iteration obtained the best performance of the algorithm among all the maximum iterations. Based on the experimental results, calculate the MD, Std and RT matrices for each maximum iteration, then work out the weighted sum ...
Khishe M, Mosavi MR (2020) Classification of underwater acoustical dataset using neural network trained by chimp optimization algorithm. Appl Acoust 157:107005. https://doi.org/10.1016/j.apacoust.2019.107005 Article Google Scholar Khishe M, Safari A (2019) Classification of sonar targets using...