To resolve this problem, a PV output power prediction model, namely IMWOASVM, is proposed based on the combination of improved whale optimization algorithm (IMWOA) and support vector machine (SVM). The IMWOA is used to optimize the kernel function parameter and penalty coefficient in SVM. The...
Beluga Whale Optimization (BWO) is a new metaheuristic algorithm that simulates the social behaviors of beluga whales swimming, foraging, and whale falling. Compared with other optimization algorithms, BWO shows certain advantages in solving unimodal and
The proposed algorithm is constructed using hybrid whale optimization algorithm and gray wolf optimizer (HWGO) that enhance the performance and reliability of the traditional whale optimization algorithm (WOA). The proposed method enhances the exploitative phase of the WOA using a leadership hierarchy ...
The whale optimization algorithm (WOA) is a swarm intelligence optimization algorithm developed by Mirjalili and Lewis in 2016 based on the foraging behavior of whales. Because of its simplicity and high efficiency, scholars have adopted this algorithm to address various problems in different...
Notwithstanding the superior performance of the Whale optimization algorithm (WOA) on a wide range of optimization issues, the exploitation in WOA gets more preference during the search process, thereby compromising the solution accuracy and diversity and also increases the chance of premature convergence...
Hybrid whale optimization algorithm with gathering strategies is proposed by Team Prof. Zhang. The latest codes are updated on April 28, 2021. Reference If you use the codes, please cite the reference below. Xinming Zhang, Shaochen Wen. Hybrid whale optimization algorithm with gathering strategies...
A novel load prediction model is presented, which integrates the whale optimization algorithm (WOA) to refine the hyperparameters of an LSTM model bolstered by an attention mechanism (ATT) and convolutional neural network (CNN). Three hybrid models (WOA-CNN-ATT-LSTM, PSO-CNN-ATT-LSTM and GA...
Adaptive ε-constrained IWOA algorithm Improved walrus algorithm Fusion of SPM chaotic mapping The traditional whale optimization algorithm exhibits significant randomness during the initialization process, leading to a decline in the whale's foraging ability. Based on this, a method based on SPM chaotic...
Hao XH, Song JX, Zhou Q, Ma M (2020) Improved whale optimization algorithm based on hybrid strategy. Appl Res Comput 108:112–141 Google Scholar Van den Bergh F (1999) Particle swarm weight initialization in multi-layer perceptron artificial neural networks. Development and Practice of Artific...
Hussain N, Khan MA, Kadry S, Tariq U, Mostafa RR, Choi J-I, Nam Y (2021) Intelligent deep learning and improved whale optimization algorithm based framework for object recognition. Hum Cent Comput Inf Sci 11(34):2021 Inthachot M, Supratid S (2007) A multi-subpopulation particle swarm ...