Search · four archives
Search · four archives
18 papers · ranked by Valyu relevance
Yanzhao Gu, Junhao Wei, Zikun Li, Baili Lu + 3 more
'Ngai Cheong' 'Seyedali Mirjalili'] This paper analyzes the shortcomings of the traditional Whale Optimization Algorithm (WOA), mainly including the tendency to fall into local optima, slow convergence speed, and insufficient global search ability for high-dimensional and complex optimization problems. An improved…
Huanhai Yang, Shue Liu, Jingzhe Wang
Sea cucumber farming is an important part of China’s aquaculture industry, and sea cucumbers have higher requirements for aquaculture water quality. This article proposes a sea cucumber aquaculture water quality prediction model that uses an improved whale optimization algorithm to optimize the gated recurrent unit…
Qing Si, Changyong Li, Yingbai Hu, Chao Zeng + 2 more
'Shu Li'] An improved whale optimization algorithm is proposed to solve the problems of the original algorithm in indoor robot path planning, which has slow convergence speed, poor path finding ability, low efficiency, and is easily prone to falling into the local shortest path problem. First, an improved logistic…
Junjie Tang, Lianguo Wang
The whale optimization algorithm has received much attention since its introduction due to its outstanding performance. However, like other algorithms, the whale optimization algorithm still suffers from some classical problems. To address the issues of slow convergence, low optimization precision, and susceptibility…
ZeSheng Lin, Zakariya Yahya Algamal
Data classification is an important research direction in machine learning. In order to effectively handle extensive datasets, researchers have introduced diverse classification algorithms. Notably, Kernel Extreme Learning Machine (KELM), as a fast and effective classification method, has received widespread attention.…
Rahila Hafiz, Sana Saeed, Omar A. Alzubi
The standard whale algorithm is prone to suboptimal results and inefficiencies in high-dimensional search spaces. Therefore, examining the whale optimization algorithm components is critical. The computer-generated initial populations often exhibit an uneven distribution in the solution space, leading to low diversity.…
Qinghua Chen, Gang Yao, Lin Yang, Tangying Liu + 4 more
'Shuxiang Cai' 'Heming Jia' 'Gang Hu'] Ship replenishment path planning has always been a critical concern for researchers in the field of security. This study proposes a modified whale optimization algorithm (MWOA) to address single-task ship replenishment path planning problems. To ensure high-quality initial…
Yong Xu, Baicheng Zhang, Yi Zhang, Heming Jia
The wireless sensor network (WSN) is an essential technology of the Internet of Things (IoT) but has the problem of low coverage due to the uneven distribution of sensor nodes. This paper proposes a novel enhanced whale optimization algorithm (WOA), incorporating Lévy flight and a genetic algorithm optimization…
Shuang Wu, Xueliang Song, Yumin Dong, Fanghua Jia
In order to explore the possibility of cross-fertilization between quantum computing and neural networks as well as to improve the classification performance of quantum neural networks, this paper proposes an improved Variable Split Shadow Quantum Circuit (VSQC-WOA) model based on the Whale Optimization Algorithm. In…
Zhao, Zhi, Xiao, Hang + 2 more
Task scheduling is a critical research challenge in cloud computing, a transformative technology widely adopted across industries. Although numerous scheduling solutions exist, they predominantly optimize singular or limited metrics such as execution time or resource utilization often neglecting the need for…
Zhaoyu Teng, Qian Dong
Localization Problem in Swarm Robotic Systems Authors: ['Zhaoyu Teng' 'Qian Dong'] Abstract—In Swarm Robotic Systems (SRSs), only a few robots are equipped with Global Positioning System (GPS) devices, known as anchors. A challenge lies in inferring the positions of other unknown robots based on the positions of…
Mohammad Ali Labbaf-Khaniki, Mohammad Manthouri, Amin Hajizadeh
Control for Modular Multilevel Converters Authors: ['Mohammad Ali Labbaf-Khaniki' 'Mohammad Manthouri' 'Amin Hajizadeh'] Abstract: Designing a robust controller for Modular Multilevel Converters (MMCs) is crucial to ensure stability and optimal dynamic performance under various operating conditions, including faulty…
Huang Chenan, Narumasa Tsutsumida
Unsupervised clustering has emerged as a critical tool for uncovering hidden patterns and insights from vast, unlabeled datasets. However, traditional methods like Partitioning Around Medoids (PAM) struggle with scalability due to their quadratic computational complexity. To address this limitation, we introduce…
Ryan R. Reisinger, Przemyslaw A. Grudniewski, Freya C. Womersley, David W. Sims + 1 more
Ship strikes are a significant and growing threat to marine megafauna, yet few mitigation measures are implemented at scale due to perceived economic costs to shipping. Here, we present a proof of concept for integrating biodiversity considerations into commercial voyage optimisation, using priority aggregation sites…
Drew Blount, Jason Holmberg, Jason Parham, J. Jacob Levenson + 1 more
Photo-identification of individual sperm whales (Physeter macrocephalus) is the primary technique for mark-recapture-based population analyses for the species The visual appearance of the fluke — with its distinct nicks and notches — often serves as the primary visual differentiator, allowing humans to make recorded…
Olena Doroshenko
Pathfinding in complex topographies poses a challenge with applications extending from urban planning to autonomous navigation. While numerous algorithms offer potential solutions, their comparative efficiency and reliability when confronted with nonlinear terrains remain to be systematically evaluated. This study…
Changin Oh, Kathleen P. Wilkie
We present the Toroidal Search Algorithm (TSA), a novel population-based metaheuristic optimization method inspired by the topology of a torus. Conventional metaheuristics frequently suffer from boundary stagnation, a phenomenon that severely degrades performance in bounded and high-dimensional search spaces. TSA…
Authors not listed
With the ever-increasing demand for atomistic structures representative of real-life systems as well as the ad-vent of exascale computers, it has now become necessary and possible to use advanced global optimization (GO) techniques to intelligently sample the potential energy surface (PES). Given the previous studies…