Decomposition–based multi-objective differential evolution for extractive multi-document automatic text summarization by Wahab, Muhammad Hafizul Hazmi, Abdul Hamid, Nor Asilah Wati, Subramaniam, Shamala, Latip, Rohaya, Othman, Mohamed

“…However, the current approach faces a significant hurdle due to the computational intensity of the process, particularly when employing complex optimization techniques like swarm intelligence optimization alongside a costly ATS repair operator. …”

RRSEB: a reliable routing scheme for energy-balancing using a self-adaptive method in wireless sensor networks by Al-Mshreqi, Ahmed Mohammed Shamsan Saleh, Mohd Ali, Borhanuddin, Mohamad, Hafizal, A. Rasid, Mohd Fadlee, Ismail, Alyani

“…It is based on Swarm Intelligence (SI) using the Ant Colony Optimization (ACO) method. …”
Get full text

A review of computational methods for clustering genes with similar biological functions by Nies, Hui Wen, Zakaria, Zalmiyah, Mohamad, Mohd Saberi, Chan, Weng Howe, Zaki, Nazar, Sinnott, Richard O., Napis, Suhaimi, Chamoso, Pablo, Omatu, Sigeru, Corchado, Juan Manuel

“…To optimize the objective function, here we introduce the swarm intelligence technique and compare the performances of other methods. …”
Get full text

An adaptive threshold based CQI compression scheme for LTE cellular networks by Salman, Mustafa Ismael, Abdulhasan, Muntadher Qasim, Noordin, Nor Kamariah, Mohd Ali, Borhanuddin, Sali, Aduwati, Ng, Chee Kyun

“…Then, an adaptive signal-to-interference-plus-noise ratio (SINR) threshold based CQI scheme is proposed by using multi-objective swarm intelligence to find the optimal feedback threshold. …”
Get full text

A review of computational methods for clustering genes with similar biological functions by Hui, Wen Nies, Zakaria, Zalmiyah, Mohamad, Mohd. Saberi, Weng, Howe Chan, Zaki, Nazar, Sinnott, Richard O., Napis, Suhaimi, Chamoso, Pablo, Omatu, Sigeru, Corchado, Juan Manuel

“…To optimize the objective function, here we introduce the swarm intelligence technique and compare the performances of other methods. …”
Get full text

Whale optimization algorithm: a systematic review of contemporary applications, modifications and developments by Rana, Nadim, Abd. Latiff, Muhammad Shafie, Abdulhamid, Shafi’i Muhammad, Chiroma, Haruna

“…It has been widely accepted swarm intelligence technique in various engineering fields due to its simple structure, less required operator, fast convergence speed and better balancing capability between exploration and exploitation phases. …”

Neural Network Training Using Hybrid Particle-move Artificial Bee Colony Algorithm for Pattern Classification by Nuaimi, Zakaria Noor Aldeen Mahmood Al, Abdullah, Rosni

“…Therefore, evolutionary algorithms like the Swarm Intelligence (SI) algorithms have been employed in ANNT to overcome such issues. …”
Get full text

Series division method based on PSO and FA to optimize Long-Term Hydro Generation Scheduling by Hammid, Ali Thaeer, M. H., Sulaiman

“…The SDM is to make a division on the Swarm Intelligence (SI) algorithm which is to be a number of particles searching collections that properly can be regarded as divisions. …”
Get full text

A Hybrid Delay Aware Clustered Routing Approach Using Aquila Optimizer and Firefly Algorithm in Internet of Things by Mehdi Hosseinzadeh, Liliana Ionescu-Feleaga, Bogdan-Ștefan Ionescu, Mahyar Sadrishojaei, Faeze Kazemian, Amir Masoud Rahmani, Faheem Khan

“…This study created a clustering method utilising swarm intelligence to obtain a more even distribution of cluster heads. …”
Get full text

A Stock Price Prediction Model Based on Investor Sentiment and Optimized Deep Learning by Guangyu Mu, Nan Gao, Yuhan Wang, Li Dai

“…This paper combines the multi-source data affecting stock prices and applies sentiment analysis, swarm intelligence algorithm, and deep learning to build the MS-SSA-LSTM model. …”
Get full text

A Novel Hybrid MSA-CSA Algorithm for Cloud Computing Task Scheduling Problems by Shtwai Alsubai, Harish Garg, Abdullah Alqahtani

“…The approach offers a new perspective for utilizing swarm intelligence algorithms to optimize cloud task scheduling. …”
Get full text

Finite Element Model Updating for Composite Plate Structures Using Particle Swarm Optimization Algorithm by Minh Q. Tran, Hélder S. Sousa, José Matos, Sérgio Fernandes, Quyen T. Nguyen, Son N. Dang

“…This study presents a solution to increase the accuracy of the finite element (FE) model using a swarm intelligence-based approach called the particle swarm optimization (PSO) algorithm. …”
Get full text

Task Scheduling Based on Grey Wolf Optimizer Algorithm for Smart Meter Embedded Operating System by Wang Shuang, Duan Xiaomeng, Zhao Ting, Wang Xiaodong

“…Compared with traditional algorithms and classical swarm intelligence algorithms, the algorithm proposed in this paper avoids the dilemma of local optimization, can quickly allocate operating system tasks, effectively shorten the time consumption of task scheduling, ensure the real-time performance of multi task scheduling, and achieve the system tuning balance. …”
Get full text

An Improved Particle Swarm Optimization Algorithm for Data Classification by Waqas Haider Bangyal, Kashif Nisar, Tariq Rahim Soomro, Ag Asri Ag Ibrahim, Ghulam Ali Mallah, Nafees Ul Hassan, Najeeb Ur Rehman

“…Particle Swarm Optimization (PSO) is a metaheuristic algorithm based on swarm intelligence, widely used to solve global optimisation problems throughout the real world. …”
Get full text

Advanced slime mould algorithm incorporating differential evolution and Powell mechanism for engineering design by Xinru Li, Zihan Lin, Haoxuan Lv, Liang Yu, Ali Asghar Heidari, Yudong Zhang, Huiling Chen, Guoxi Liang

“…Summary: The slime mould algorithm (SMA) is a population-based swarm intelligence optimization algorithm that simulates the oscillatory foraging behavior of slime moulds. …”
Get full text

PSO Based Optimized Ensemble Learning and Feature Selection Approach for Efficient Energy Forecast by Wafa Shafqat, Sehrish Malik, Kyu-Tae Lee, Do-Hyeun Kim

“…Swarm intelligence techniques with incredible success rates are broadly used for various irregular and interdisciplinary topics. …”
Get full text

Collective expression: how robotic swarms convey information with group motion by St-Onge David, Levillain Florent, Zibetti Elisabetta, Beltrame Giovanni

“…When faced with the need of implementing a decentralized behavior for a group of collaborating robots, strategies inspired from swarm intelligence often avoid considering the human operator, granting the swarm with full autonomy. …”
Get full text

UAVSwarm Dataset: An Unmanned Aerial Vehicle Swarm Dataset for Multiple Object Tracking by Chuanyun Wang, Yang Su, Jingjing Wang, Tian Wang, Qian Gao

“…In recent years, with the rapid development of unmanned aerial vehicles (UAV) technology and swarm intelligence technology, hundreds of small-scale and low-cost UAV constitute swarms carry out complex combat tasks in the form of ad hoc networks, which brings great threats and challenges to low-altitude airspace defense. …”
Get full text

Dual-Stage Hybrid Learning Particle Swarm Optimization Algorithm for Global Optimization Problems by Wei Li, Yangtao Chen, Qian Cai, Cancan Wang, Ying Huang, Soroosh Mahmoodi

“…Particle swarm optimization (PSO) is a type of swarm intelligence algorithm that is frequently used to resolve specific global optimization problems due to its rapid convergence and ease of operation. …”
Get full text

Extreme Learning Machine Using Bat Optimization Algorithm for Estimating State of Health of Lithium-Ion Batteries by Dongdong Ge, Zhendong Zhang, Xiangdong Kong, Zhiping Wan

“…The bat algorithm (BA) is a swarm intelligence optimization algorithm based on bat echolocation for foraging. …”
Get full text