An improved genetic bat algorithm for unconstrained global optimization problems by Muhammad Zubair, Rehman, Kamal Z., Zamli, Abdullah, Nasser

“…Nowadays, nature inspired swarm intelligent algorithms have become quite popular due to their propensity for finding optimal solutions with agility. …”
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Diversity Operators-based Artificial Fish Swarm Algorithm to Solve Flexible Job Shop Scheduling Problem by Alaa Wagih Abdulqader, Sura Mazin Ali

“… Artificial fish swarm algorithm (AFSA) is one of the critical swarm intelligent algorithms. In this paper, the authors decide to enhance AFSA via diversity operators (AFSA-DO). …”
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Ant colony optimization for controller and sensor-actuator location in active vibration control by Md Nor, Khairul Affendy, Abdul Muthalif, Asan Gani, Wahid, Azni N.

“…The main focus is to find the optimal location of the collocated sensor-actuatorand controller gains using a swarm intelligent algorithm called Ant Colony Optimization (ACO) which later verified with Genetic Algorithm (GA). …”
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ANT colony optimization for controller and sensor-actuator location in active vibration control by Md Nor, Khairul affendy, Abdul Muthalif, Asan Gani, Walid, Azni N.

“…The main focus is to find the optimal location of the collocated sensor-actuator and controller gains using a swarm intelligent algorithm called Ant Colony Optimization (ACO) which later verified with Genetic Algorithm (GA). …”
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Comparative analysis of gravitational search algorithm and k-means clustering algorithm for intrusion detection system by Shahri, Bibi Masoomeh Aslahi, Zadeh, Saeed Khorashadi, Adeyemi, Ikuesan Richard, Zainal, Anazida

“…Gravitational Search Algorithm which is one of the newest swarm intelligent provides a prototype classifier to address the classification of instances in multiclass datasets. …”

Reactive memory model for ant colony optimization and its application to TSP by Sagban, Rafid, Ku-Mahamud, Ku Ruhana, Abu Bakar, Muhamad Shahbani

“…Ant colony optimization is one of the most successful examples of swarm intelligent systems. The exploration and exploitation are the main mechanisms in controlling search within the ACO. …”
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Comparison performances between MABSA-PI controller and MABSA-PD controller for DC motor position system by Mohamad Harith Hilmi, Fajaffri, Nafrizuan, Mat Yahya

“…MABSA is one of the swarm intelligences and is usually for an optimization problem. …”
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RESEARCH ON SENSOR TEMPERATURE COMPENSATION SYSTEM BASED ON IMPROVED RBF NEURAL NETWORK by SONG RuiJuan

“…Considering the current temperature compensation method is used to establish the temperature compensation model using intelligent algorithm,and use swarm intelligent optimization algorithm to optimize and improve the compensation precision,has good compensation effect for nonlinear sensor temperature drift,but for the low efficiency of this method has good linearity,and the use of linear least squares fitting method the routine can get better compensation effect,so this will be the least squares fitting method and RBF neural network model integration,a model of temperature compensation of pressure sensor,using ant colony algorithm to optimize the conventional RBF neural network,improve the performance of compensation model. …”
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Two-Dimensional TeB Structures with Anisotropic Carrier Mobility and Tunable Bandgap by Yukai Zhang, Xin Qu, Lihua Yang, Xin Zhong, Dandan Wang, Jian Wang, Baiyang Sun, Chang Liu, Jian Lv, Jinghai Yang

“…In this work, we proposed <i>α</i>-TeB and <i>β</i>-TeB monolayers using density functional theory (DFT) combined with the particle swarm-intelligent global structure search method. The high dynamical and thermal stabilities of two TeB structures indicate high feasibility for experimental synthesis. …”
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Optimization of power utilization in multi-mobile robot foraging behavior inspired by honeybees system by Ahmad, Faisul Arif, Ramli, Abdul Rahman, Samsudin, Khairulmizam, Hashim, Shaiful Jahari

“…Deploying large numbers of mobile robots which can interact with each other produces swarm intelligent behavior. However, mobile robots are normally running with finite energy resource, supplied from finite battery. …”
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A Multi-Strategy Dung Beetle Optimization Algorithm for Optimizing Constrained Engineering Problems by Wang Zilong, Shao Peng

“…The dung beetle optimization (DBO) algorithm is one of newly excellent swarm intelligent algorithm while its exploration capability is still insufficient. …”
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An Improved Spherical Vector and Truncated Mean Stabilization Based Bat Algorithm for UAV Path Planning by Buqian Chen, Jin Yang, Huizhen Zhang, Meng Yang

“…MATLAB simulation experiments show that, compared with other traditional swarm intelligent algorithms, TMS-SBA can successfully generate feasible and effective optimal solutions in complex environments and plan shorter, safer, and more accessible flight paths for UAV.…”
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Opposition-Based Ant Colony Optimization Algorithm for the Traveling Salesman Problem by Zhaojun Zhang, Zhaoxiong Xu, Shengyang Luan, Xuanyu Li, Yifei Sun

“…Opposition-based learning (OBL) has been widely used to improve many swarm intelligent optimization (SI) algorithms for continuous problems during the past few decades. …”
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A novel intelligent global harmony search algorithm based on improved search stability strategy by Jinglin Wang, Haibin Ouyang, Chunliang Zhang, Steven Li, Jianhua Xiang

“…Abstract Harmony search (HS) is a new swarm intelligent algorithm inspired by the process of music improvisation. …”
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FAULT DIAGNOSIS OF THE PLANETARY GEARBOX BASED ON SFLA-BP MODEL AND KPCA FEATURE EXTRACTION by HE Yan, WANG ZongYan

“…The shuffled frog leaping algorithm（ SFLA） is a swarm intelligent optimization algorithm that combines competitive evolutionary strategy and limited random search. …”
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Research on Logistics Distribution Center Location Based on Hybrid Beetle Antennae Search and Rain Algorithm by Zhimin Mei, Xuexin Chi, Rui Chi

“…Firstly, the beetle antennae search (BAS) algorithm is embedded into the rain algorithm (RA); thus, the BAS is improved from an individual search to a swarm intelligent search and the global search ability is improved. …”
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A new method for axis adjustment of the hydro-generator unit using machine learning by Jie Cao, Yang Li, Zhaoyang Qu, Yunchang Dong, Yaowei Liu, Ruxuan Zhang

“…This paper proposes a new method for axis adjustment of hydro-generator unit based on an improved grey prediction model and swarms intelligence optimization neural network. First of all, it proposes a sequence acceleration translation and mean value transformation method, which is used to pre-process the axis net total swing sequence that exhibits oscillating fluctuations. …”
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Optimization Of Pid Controller Using Grey Wolf Optimzer And Dragonfly Algorithm by Nik Mohamed Hazli, Nik Muhammad Aiman

“…In this research, swarming intelligence is used to solve optimisation problem. …”
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Hybrid taguchi glowworm optimization algorithm for optimization of cutting parameters by Zainal, Nurezayana

“…GSO is a new method of swarm intelligent based algorithm to search for global extremes of multi-modal optimization problems. …”

Optically Programmable Living Microrouter in Vivo by Xiaoshuai Liu, Huaying Wu, Shuai Wu, Haifeng Qin, Tiange Zhang, Yufeng Lin, Xianchuang Zheng, Baojun Li

“…Abstract With high reconfigurability and swarming intelligence, programmable medical micromachines (PMMs) represent a revolution in microrobots for executing complex coordinated tasks, especially for dynamic routing of various targets along their respective routes. …”
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