Cascade Control of Grid-Connected PV Systems Using TLBO-Based Fractional-Order PID by Afef Badis, Mohamed Nejib Mansouri, Mohamed Habib Boujmil

“…The superiority of the proposed TLBO-based FOPID controller has been demonstrated by comparing the results with recently published optimization techniques such as genetic algorithm (GA), particle swarm optimization (PSO), and ant colony optimization (ACO). …”
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Presenting a Fuzzy Multiobjective Mathematical Model of the Reverse Logistics Supply Chain Network in the Automotive Industry to Reduce Time and Energy by Saeed Aminpour, Alireza Irajpour, Mehdi Yazdani, Ali Mohtashami

“…Deterministic methods, genetic algorithm, particle swarm algorithm, and several scenarios with different aspects have been used to solve the model. …”
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Visual Classification of Music Style Transfer Based on PSO-BP Rating Prediction Model by Tianjiao Li

“…Although recommendation systems have been well developed in real applications, the limitations of CF algorithms are slowly coming to light as the number of people increases day by day, such as the data sparsity problem caused by the scarcity of rated items, the cold start problem caused by new items and new users. …”
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Heuristic optimization in classification atoms in molecules using GCN via uniform simulated annealing by Agnieszka Polowczyk, Alicja Polowczyk, Marcin Woźniak

“…To date, some metaheuristic algorithms have been used primarily to optimize convolutional networks and find suitable hyperparameters, these are: genetic algorithm, particle swarm optimization, differential evolution or covariance matrix adaptation evolution strategy. …”
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Prediction of time-dependent bearing capacity of concrete pile in cohesive soil using optimized relevance vector machine and long short-term memory models by Jitendra Khatti, Mohammadreza Khanmohammadi, Yewuhalashet Fissha

“…Each RVM model (SRVM) is configured by each linear, polynomial, gaussian, sigmoid, laplacian, and exponential kernel function. Each SRVM model has been optimized by each genetic (GA_SRVM) and particle swarm optimization (PSO_RVM) algorithm. …”
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Fuzzy optimum PSO: PSO with optimized fuzzy controllers by Omid Mokhlessi, Seyed Hamid Zahiri, Nasser Mehrshad

“…In this paper, a new algorithm called Fuzzy Optimum PSO (FOPSO) has been introduced. …”
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高维多目标优化设计的灰色微粒群算法 by 车晓毅, 罗佑新, 汪超

“…The method can reasonably deal with value adopting problems of hybrid discrete variables in optimization design. The PSO algorithmic has been improved and dynamical penalty function is adopted to transform the constrained optimization problems into unconstrained optimization problems. …”
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Structure design and optimization of jumping mechanisms based on velocity manipulability by LI Chenjiarui, HOU Yu, SUN Wei, XU Yantao, WANG Zhongxuan

“…The concept of velocity manipulability was introduced as a metric to assess the speed transfer performance of the mechanism, and a particle swarm optimization algorithm was employed for the mechanism optimization.ResultsThe results show that the optimized mechanism exhibits a 21.76% increase in the jumping velocity compared to its pre-optimized state. …”
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Control Method of Microgrid Grid Connected Inverter Based on Quantum GA-PID by Yunqing Qu

“…Therefore, a proportional integral derivative control method of the quantum genetic algorithm and particle swarm optimization has been proposed, which can achieve stable and efficient operation of microgrids.The total harmonic distortion of the improved controller was 1.03%, which was 1.98% lower than the traditional method and far below the national standard of 5%; The prediction accuracy wad on average 82%, 51%, and 54% higher than the other three classic algorithms; After the improvement of sag, the smoothness of microgrid switching had been increased, avoiding severe shaking. …”
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New Improved Fractional Order Differentiator Models Based on Optimized Digital Differentiators by Maneesha Gupta, Richa Yadav

“…Different evolutionary algorithms (EAs), namely, particle swarm optimization (PSO), genetic algorithm (GA), and PSO-GA hybrid optimization, have been used to optimize digital differential operators so that these can be better fitted to exemplify their new improved fractional order differentiator counterparts. …”
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Bare-Bones Teaching-Learning-Based Optimization by Feng Zou, Lei Wang, Xinhong Hei, Debao Chen, Qiaoyong Jiang, Hongye Li

“…Teaching-learning-based optimization (TLBO) algorithm which simulates the teaching-learning process of the class room is one of the recently proposed swarm intelligent (SI) algorithms. …”
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Performance evaluation of an adopted model based on big-bang big-crunch and artificial neural network for cloud applications by Pradeep Rawat, Robin Singh Bhadoria, Punit Gupta, Priti Dimri, G. P. Saroha

“…The proposed model is inspired from Big-Bang Big-Crunch algorithm in astrology. The work has been compared with a genetic algorithm, Particle swarm optimization and TOPSIS algorithm. …”
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Point Data Registration With the Multi-Object, Cardinalized Optimal Linear Assignment Metric by Pablo A. Barrios, Vicente Guzman, Martin D. Adams, Claudio A. Perez

“…The Iterative Closest Point (ICP) algorithm and its variants were initially used to solve such problems and since then, various global methods have been proposed to improve registration when data outliers exist. …”
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Efficient control strategy for electric furnace temperature regulation using quadratic interpolation optimization by Serdar Ekinci, Davut Izci, Veysel Gider, Laith Abualigah, Mohit Bajaj, Ievgen Zaitsev

“…In this study, the real PID plus second-order derivative (RPIDD2) controller is introduced for the first time for industrial temperature control applications, which is a novel alternative that has not yet been investigated in the literature. To ensure optimal performance, the parameters of the RPIDD2 controller are optimized using metaheuristic algorithms, including the flood optimization algorithm (FLA), reptile search algorithm (RSA), particle swarm optimization (PSO) and differential evolution (DE). …”
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A Novel Method of Self-Healing Concrete to Improve Durability and Extend the Service Life of Civil Infrastructure by Yan Xue, Weiliang Gao, Yanming Zhao

“…Moreover, a concrete durability prediction model based on particle swarm optimization-least squares support vector machine (PSO-LSSVM) and improved NSGA-II (nondominated sorting genetic algorithm II) algorithm was proposed to quickly and accurately determine the optimization scheme of self-healing concrete mix proportion. …”
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Maximum Energy Absorbed from the Persian Gulf Waves Considering Uncertainty in Power Take off Parameters by Mohammad Jalali, Reihaneh Kardehi Moghaddam, Naser Pariz

“…The proposed method is then implemented for tuning the fuzzy controller parameters in order to obtain the maximum power capture of wave energy converters. Compared to particle swarm optimization and conventional black hole algorithm, the results of the proposed method indicate enhancements in reference velocity tracking and absorbed power. …”
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Solving 0-1 Knapsack and Bin Packing Problem Using Logical Social Group Optimization by Rhiddhi Prasad Das, Junali Jasmine Jena, Suresh Chandra Satapathy, Naeem M. S. Hannoon

“…The results highlight the effectiveness of LSGO in enhancing solution quality, stability, scalability, and efficiency for discrete optimization problems where Knapsack has been taken as a case study in this paper. Moreover, the practical application of the proposed algorithm for simulation of path finding robots has been discussed to shed some light on the applicability of the algorithm. …”
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A strategic approach to the placement of PV-integrated EV charging stations for enhancing the distribution network performance by Raj Chakraborty, Subhojit Dawn, Priyanath Das, Diptanu Das, Sadhan Gope, Md. Minarul Islam, Taha Selim Ustun

“…The outcomes have been compared with Grey Wolf Optimizer, particle swarm optimization (PSO), and whale optimization algorithm (WOA) to validate the effectiveness of the optimal planning to allocate the EVCS and PV units. …”
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Frequency Stability Enhancement of Microgrid Using Optimization Techniques-Based Adaptive Virtual Inertia Control by Philemon Yegon, Mukhtiar Singh

“…The improved particle swarm optimization (PSO) and genetic algorithm (GA) optimization techniques-based PID controller has been used to generate the appropriate virtual inertia coefficient for effective emulation of inertia in the presence of energy storage system. …”
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Dual Strategy of Reconfiguration with Capacitor Placement for Improvement Reliability and Power Quality in Distribution System by Ali Nasser Hussain, Wathiq Rafa Abed, Mohanad Muneer Yaqoob

“…These scenarios were tested on typical 33 and 69 bus IEEE RDS using the binary salp swarm algorithm (BSSA) based on the multiobjective functions (MOFs), in order to identify the most effective scenario performance that achieved the highest power quality and system reliability. …”
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