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Binary Whale Optimization Algorithm with Logarithmic …?
Binary Whale Optimization Algorithm with Logarithmic …?
WebEO-CNN: An Enhanced CNN Model Trained by Equilibrium Optimization for Traffic Transportation Prediction. genetic-algorithm convolutional-neural-network recurrent-neural-network whale-optimization-algorithm satin-bowerbird-optimizer life-choice-based-optimizer multi-verse-optimizer equilibirum-optimizer artificial-ecosystem … A new meta-heuristic called Grey Wolf Optimizer inspired by grey wolves is … 6.2.. A comparison with PSO and RGAWe applied GSA to these minimization … The Ant Lion Optimizer inspired by the hunting mechanism of antlions is … Since the FNN needs the snapshot of last r data samples to make r step ahead … 3.1. Rule updating based on extended self organizing map (ESOM) The self … The results presented in this section have been obtained by applying the jack-knife … 1.. IntroductionThis paper focuses on expert estimation of software projects. Expert … The SG algorithm is used to train standard RBFNs with Gaussian units for function … Table 2 shows the frequencies of which technique is best, where best is defined … 2.2. The Symbiotic Organisms Search (SOS) algorithm. Current metaheuristic … classification enterobacteriaceae group WebApr 1, 2024 · In Section 3, satin bowerbird optimization algorithm is described in details. In Section 4, evaluation of the proposed algorithm is presenting using mathematical … WebSep 1, 2024 · A novel partitioning algorithm based on the concept of satin bowerbird optimization (SBO) is proposed herein. The bioinspired SBO algorithm chooses the initial partitions randomly then utilizes the concepts of fitness value evaluation and group migration to improve the cut-cost. early onset tourette syndrome WebMar 23, 2024 · In this paper, to overcome the problem of overfitting and convergence, we optimize the values of weight and biases of a LeNet-5 by an optimization algorithm. From the various types of metaheuristic algorithms, we used the Shuffled frog-leaping algorithm (SFLA) to optimize the performance of the LeNet-5 CNN . This is conducted by … WebJun 28, 2024 · The Satin Bowerbird Optimisation (SBO) was inspired by the Satin Bowerbirds living in Australia’s rainforests and other mesic habitats. Like other meta … classification escarre has WebApr 1, 2024 · The proposed optimization algorithm is compared against other bio inspired optimization algorithms using 13 standard test functions including unimodal and …
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WebHighlights • Hybrid genetic algorithms (GA) and Satin bowerbird optimization (SBO) are applied. • The hybrid GASBO algorithm is applied for optimal allocation of DG in radial … WebIn this paper, an efficient meta-heuristic satin bowerbird optimization (SBO) algorithm is presented for congestion management (CM) in the deregulated power system. The main objective of CM is to relieve congestion in the transmission lines using a generation rescheduling-based approach, while satisfying all the constraints with minimum … classification error rate decision tree formula WebNov 1, 2024 · PDF On Nov 1, 2024, Qixiang Wu published Modeling and optimization of SOFC based on Metaheuristics Find, read and cite all the research you need on ResearchGate WebApr 18, 2024 · 4.5 A review of satin bowerbird optimization. In the SBO algorithm [45, 46], adult males start to construct a bower (nest) using various objects from their … classification error rate formula WebApr 1, 2024 · The proposed hybrid model is an optimized neuro-fuzzy based estimation model which is capable of producing accurate estimations in a wide range of software projects. The proposed optimization algorithm is compared against other bio inspired optimization algorithms using 13 standard test functions including unimodal and … WebMar 1, 2024 · The real-valued satin bowerbird optimization (SBO) is a novel metaheuristic bio-inspired algorithm which imitates the ‘male-attracts-the-female for breeding’ principle … early onset vascular dementia life expectancy WebThe proposed hybrid model is an optimized neuro-fuzzy based estimation model which is capable of producing accurate estimations in a wide range of software projects. The …
WebNov 6, 2024 · In this paper, an efficient meta-heuristic satin bowerbird optimization (SBO) algorithm is presented for congestion management (CM) in the deregulated power … WebRezk et al. (2024) compared the water cycle optimization algorithm, the salp swarm algorithm, the satin bowerbird optimization, the grey wolf optimizer, and differential evolution, reporting the water cycle algorithm to be the best choice. early onset vascular dementia WebMar 22, 2024 · Some research has also employed the gray wolf optimization for MLP-ANN to identify a melanoma, with excellent results in terms of both efficiency and accuracy (Parsian et al. 2024). Similarly, a convolutional neural network (CNN) tuned with the satin bowerbird optimization algorithm has demonstrated efficacy in detecting cancer (Xu et … WebMay 6, 2024 · Abstract. Aiming at the problems of low optimization accuracy and slow convergence speed of Satin Bowerbird Optimizer (SBO), an improved Satin Bowerbird Optimizer (ISBO) based on chaotic initialization and Cauchy mutation strategy is proposed. In order to improve the value of the proposed algorithm in engineering and practical … classification error rate of neural networks WebMar 29, 2024 · The process of constructing the codebook can be treated as the optimization issue and the metaheuristic algorithms can be utilized for resolving it. … WebSHS Moosavi and VK Bardsiri. Satin bowerbird optimizer: A new optimization algorithm to optimize ANFIS for software development effort estimation. Eng. Appl. Artif. Intell. 2024; 60, 1-15. P Lakshminarayana and TV SureshKumar. Automatic generation and optimization of test case using hybrid cuckoo search and bee colony algorithm. J. Intell. earl yoon csn
WebMar 12, 2024 · Download and share free MATLAB code, including functions, models, apps, support packages and toolboxes early on today meaning WebMay 6, 2024 · Abstract. Aiming at the problems of low optimization accuracy and slow convergence speed of Satin Bowerbird Optimizer (SBO), an improved Satin Bowerbird … classification error discriminant analysis