Short‐term load and spinning reserve prediction based on LSTM and ANFIS with PSO algorithm by Mohammad Ferdosian, Hamdi Abdi, Shahram Karimi, Saeed Kharrati

“…First, short‐term predicting of load and spinning reserve is performed using a combination of adaptive network‐based fuzzy inference system (ANFIS) and meta‐heuristic algorithms including differential evolution (DE), genetic algorithm (GA), and particle swarm optimization (PSO). …”
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Germinal Center Optimization Applied to Neural Inverse Optimal Control for an All-Terrain Tracked Robot by Carlos Villaseñor, Jorge D. Rios, Nancy Arana-Daniel, Alma Y. Alanis, Carlos Lopez-Franco, Esteban A. Hernandez-Vargas

“…Nowadays, there are several meta-heuristics algorithms which offer solutions for multi-variate optimization problems. …”
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Resource- and Time-Efficient Computation Offloading in Vehicular Edge Computing: A Max-Min Fairness Oriented Approach by Shujuan Wang, Hao Peng, Dongchao Guo

“…Secondly, a Max-Min fairness-oriented approach is proposed to find the most suitable offloading decision, and vehicles with poor cooperation capabilities are guaranteed to be treated equally in the offloading. Finally, two heuristic algorithms are presented to solve the problem with applicable complexity and to suit the practical IoV environment. …”
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Modeling of Photovoltaic Array Based on Multi-Agent Deep Reinforcement Learning Using Residuals of I–V Characteristics by Jingwei Zhang, Zenan Yang, Kun Ding, Li Feng, Frank Hamelmann, Xihui Chen, Yongjie Liu, Ling Chen

“…The experimental results show that the higher modeling accuracy of the next time step is obtained by the extracted model parameters using the proposed method, compared with that using the conventional meta-heuristic algorithms and the analytical method. The daily root mean square error (RMSE) is approximately 0.5015 A on the first day, and converges to 0.1448 A on the last day of training. …”
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A Compact Snake Optimization Algorithm in the Application of WKNN Fingerprint Localization by Weimin Zheng, Senyuan Pang, Ning Liu, Qingwei Chai, Lindong Xu

“…The main research purpose of this article is to study how to use metaheuristic algorithms to improve indoor positioning accuracy and verify the effectiveness of heuristic algorithms in indoor positioning. This paper presents a new algorithm called compact snake optimization (cSO). …”
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An encrypted network video stream dataset by Jan Fesl, Daniel Sedlák, Tomáš Macák, Marie Feslová, Michal Konopa

“…Our dataset can be used to create and train machine learning models or heuristic algorithms, allowing encrypted video stream identification according to their content resp. type category or specifically.…”
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Parsimonious Bayesian model-based clustering with dissimilarities by Samuel Morrissette, Saman Muthukumarana, Maxime Turgeon

“…However, when only distances between observations are available, model-based clustering can no longer be used, and heuristic algorithms without the aforementioned advantages are usually used instead. …”
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Fuzzy decision-making problem for controlling operating modes of technological systems and method for their solution by Mailybaeva Aiman, Salybek Lazzat, Utenova Balbupe, Kabylkhamit Zhanargul, Dyussembina Elmira, Iskakova Sandugash, Amanbayeva Zhanylsyn

“…Based on the modification of various optimality principles, new mathematical formulations of the problems to be solved were obtained and interactive heuristic algorithms for solving them were developed. The novelty of the proposed approaches to solving formalized fuzzy problems from well-known methods for solving fuzzy problems lies in the fact that problems are posed and solved without first converting them to equivalent deterministic options, which does not reduce the loss of original fuzzy information and makes it possible to obtain more adequate and effective solutions. …”
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Combined Two-Stage Stochastic Programming and Receding Horizon Control Strategy for Microgrid Energy Management Considering Uncertainty by Zhongwen Li, Chuanzhi Zang, Peng Zeng, Haibin Yu

“…In our approach, a proper strategy is also proposed to maintain the SP model as a mixed integer linear constrained quadratic programming (MILCQP) problem, which is solvable without resorting to any heuristics algorithms. The results of numerical experiments explicitly demonstrate the superiority of the proposed strategy for both island and grid-connected operating modes of an MG.…”
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A Hybrid Particle Swarm Optimization-Based Wavelet Threshold Denoising Algorithm for Acoustic Emission Signals by Farrukh Hassan, Lukman Ab. Rahim, Ahmad Kamil Mahmood, Saad Adnan Abed

“…To obtain the global best solution, a threshold selection approach is proposed by integrating particle swarm optimization and the late acceptance hill-climbing heuristic algorithms. By comparing five common approaches, the superiority of the suggested technique was validated by simulation results. …”
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An enhanced routing algorithm based on a re-position particle swarm optimization (RA-RPSO) for wireless sensor network by Mohamed Elshrkawey, Hassan Al-Mahdi, Walid Atwa

“…The routing algorithm is tested in terms network lifetime, number of dead sensor nodes, energy consumption, and number of packets delivered to base station, against four competitive Meta-Heuristic algorithms. The test results clearly indicate that the routing algorithm outperforms all the competitive algorithms for all the performance metrics. …”
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Partitioned Real-Time Scheduling for Preventing Information Leakage by Donghwa Kang, Inhwa Jung, Kilho Lee, Hyeongboo Baek

“…These results indicate that it can improve the performance of existing heuristic algorithms by up to 96.8% depending on the experimental setting.…”
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Cost Evaluation of Meta- Heuristic Design Models for Urban Water Distribution Network by Mobin Eftekhari, Mohammad Akbari

“…Comparison was also made to other meta-heuristic algorithms which confirmed better performance of the proposed algorithm with regards to costs.…”
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Distributed Intelligence in Autonomous PEM Fuel Cell Control by Abel Rubio, Wilton Agila, Leandro González, Jonathan Aviles-Cedeno

“…The proposed architecture integrates perception and action algorithms that leverage sensory and contextual information using heuristic algorithms. It adopts a hierarchical structure with distinct layers, each featuring varying time windows and levels of abstraction. …”
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Routing and Spectrum Allocation in Spectrum-Sliced Elastic Optical Path Networks: A Primal-Dual Framework by Yang Wang, Chaoyang Li, Qian Hu, Jabree Flor, Maryam Jalalitabar

“…Given its NP-Hardness, the solutions to the RSA problem can be classified into two categories: optimal solutions using link-based, path-based, and channel-based Integer Linear Programming (ILP) models, which require extensive computational time; and sub-optimal heuristic and meta-heuristic algorithms, which have no guarantee on the solution quality. …”
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Explicit Content Caching at Mobile Edge Networks with Cross-Layer Sensing by Lingyu Chen, Youxing Su, Wenbin Luo, Xuemin Hong, Jianghong Shi

“…Optimal and effective heuristic algorithms are presented to solve the problem. …”
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Effective task scheduling based on interactive autodidactic school algorithm for cloud computing by G. Senthilkumar, B. Suvarnamukhi, S. Lekashri, M. Mohammed Thaha

“…Swarm intelligence-based meta-heuristic algorithms are commonly considered more suitable for the purposes of Cloud scheduling and load balancing. …”
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Designing Flexible-Bus System with Ad-Hoc Service Using Travel-Demand Clustering by Xuekai Cen, Kanghui Ren, Yiying Cai, Qun Chen

“…We use the simulated-annealing algorithm, which has better convergence and diversity than other heuristic algorithms, to solve the suggested model in large-scale networks. …”
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Prediction of permeability from well logs using a new hybrid machine learning algorithm by Morteza Matinkia, Romina Hashami, Mohammad Mehrad, Mohammad Reza Hajsaeedi, Arian Velayati

“…The efficiency and convergence issues associated with artificial neural networks have motivated researchers to use hybrid techniques for the optimization of the networks, where the artificial neural network is combined with heuristic algorithms.This research combines social ski-driver (SSD) algorithm with the multilayer perception (MLP) neural network and presents a new hybrid algorithm to predict the value of rock permeability. …”
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AGS-SSD: Attention-Guided Sampling for 3D Single-Stage Detector by Hanxiang Qian, Peng Wu, Bei Sun, Shaojing Su

“…Existing point cloud downsampling approaches often use heuristic algorithms such as farthest point sampling (FPS) to extract the features from a massive raw point cloud. …”
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