Whale Optimization Algorithm (WOA), as a newly proposed swarm-based algorithm, has gradually become a popular approach for optimization problems in various engineering fields. However, WOA suffers from the poor balance of exploration and exploitation, and premature convergence. In this paper, a new ...
Furthermore, numerous swarm intelligence optimization algorithms encounter issues such as getting trapped in local optima and exhibiting slow convergence when addressing high-dimensional complex problems. This is largely caused by the uncertainty and instability of the algorithm's initialization method37,38....
Fig. 3 Flowchart of improved whale optimization algorithm 1)反向学习初始化种群 针对初始化种群的随机性较大的问题,结合了反向学习策略进行鲸鱼种群的初始化[22]。首先根据解空间[XL,XU][XL,XU]来生成初始种群以及反向种群XinitialXinitial、XinverseXinverse Xinitial=XL+rand(XU)*(XU−XL)(11)Xinitial=...
The flowchart and pseudo-code for CAGWOA are provided in Sect. "The proposed CAGWOA", along with a description of the algorithm's structure and optimization strategy. In Sect. "Benchmark experimental results and discussion", the performance of CAGWOA was tested on benchmark functions. Section ...
Fig. 3. Flowchart of the proposed WAROA. Algorithm 2. Pseudo-code of WAROA. Input NP: the traditional group size NF: the deep prey group size Output Xf: the final population Pf: the final optimal result 1 Initialize the traditional whale population Xtradit...
The rest of this paper is organized as follows. “Related work” section reviews the related works. “Problem statement” section introduces the DTN architecture in detail and analyzes DTN construction problem. “Whale optimization algorithm” and “Adaptive boundary whale optimization algorithm” section...
Development of an Event-driven Emergency Demand Response (EEDR) approach based WOA optimization algorithm to avoid a risk of large blackouts during emergency situations. Application of WOA as a robust optimization method to find the appropriate EEDR participants. ...
The whale optimization algorithm (WOA) is then used to train the multilayer perceptron neural network (MLP-NN). However, due to the large size of the data, the algorithm has not determined a clear boundary between the exploration and extraction phases. Next, to support this shortcoming, the ...
4 WPO flowchart for solv- ing optimization problems Initialize WOA and PSO parameters Start the WPA algorithm Page 7 of 16 115 Execute WOA Update whale positions Execute PSO Update particle positions Execute hybrid operator at specific iterations No Determine if the end condition is ...
www.nature.com/scientificreports OPEN Hybrid the long short‑term memory with whale optimization algorithm and variational mode decomposition for monthly evapotranspiration estimation Tonglin Fu 1* & Xinrong Li 2 The sustainability of artificial sand-binding vegetation is determined ...