Quad Rapidly-Exploring Random Tree Star Algorithm With Improved Potential Force for Unmanned Aerial Vehicle Path Planning by Peng Bian, Jiaming Fan, Yang Liu, Xia Chen, Yu Wang

“…Firstly, the algorithm generates four random trees simultaneously in map, and it generates two random trees respectively at the starting point and the target point to improve the search efficiency. …”
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Implementation of Alpha-Beta Pruning and Transposition Tables on Checkers Game by Cristian C. Suancha, Marco J. Suarez, Felipe A. Besoain

“…This document outlines the creation of a checkers game, employing alpha-beta pruning as a search algorithm and transposition tables to enable the game to learn from past play sessions. …”
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Energy-efficient cluster head selection in Internet of Things networks using an optimized evaporation rate water-cycle algorithm by Cong Lv, Guiling Long

“…Simulations comparing OERWCA with previous optimization methods, including NCCLA, FHHO, and EACH-COA, demonstrate the superior performance of the proposed algorithm. …”
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Behavior Analysis of the New PSO-CGSA Algorithm in Solving the Combined Economic Emission Dispatch Using Non-parametric Tests by Milena Gajić, Sanela Arsić, Jordan Radosavljević, Miroljub Jevtić, Bojan Perović, Dardan Klimenta, Miloš Milovanović

“…This paper proposes a new metahaeuristic algorithm named particle swarm optimization and chaotic gravitational search algorithm (PSO-CGSA) for solving the combined economic and emission dispatch (CEED) problem. …”
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BIT*+TD3 Hybrid Algorithm for Energy-Efficient Path Planning of Unmanned Surface Vehicles in Complex Inland Waterways by Yunze Xie, Yiping Ma, Yiming Cheng, Zhiqian Li, Xiaoyu Liu

“…To address the limitations of traditional path planning algorithms in dynamic environments, the proposed BIT*+TD3 model leverages the BIT* algorithm to generate initial paths in static environments through elliptical informed sampling and heuristic search. …”
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Multi-Objective Scheduling Optimization of Prefabricated Components Production Using Improved Non-Dominated Sorting Generic Algorithm II by Yishi Zhao, Shaokang Du, Ming Tu, Haichuan Ma, Jianga Shang, Xiuqiao Xiang

“…The algorithm incorporates adaptive operators and greedy concepts for local search, enhancing solution exploration and diversity. …”
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A Bayesian Optimization Approach for Tuning a Grouping Genetic Algorithm for Solving Practically Oriented Pickup and Delivery Problems by Cornelius Rüther, Julia Rieck

“…The outcomes of the parameter-tuned GGA are compared to both the initial GGA parameter configuration and a state-of-the-art Adaptive Large Neighborhood Search (ALNS). …”
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Intelligent adjustment and energy consumption optimization of the fresh air system in hospital buildings based on Fuzzy Logic and Genetic Algorithms by Jing Peng, Maorui He, Mengting Fan

“…Meanwhile, it introduces the Genetic Algorithm (GA) and Fuzzy Logic Algorithm (FLA) to optimize the BPNN, thus enhancing the model’s global search ability and robustness. …”
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OptiSGD-DPWGAN: Integrating Metaheuristic Algorithms and Differential Privacy to Improve Privacy-Utility Trade-Off in Generative Models by Alshaymaa Ahmed Mohamed, Yasmine N. M. Saleh, Ayman A. Abdel-Hamid

“…In this paper, the OptiSGD-DPWGAN model is proposed, that incorporates metaheuristic algorithms and differential privacy into the Wasserstein Generative Adversarial Network (WGAN) architecture to protect sensitive data during the training process. …”
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An enhanced multi-objective reactive power dispatch for hybrid Wind-Solar power system using Archimedes optimization algorithm by Prisma Megantoro, Syahirah Abd Halim, Nor Azwan Mohamed Kamari, Lilik Jamilatul Awalin, Ramizi Mohamed, Hazwani Mohd Rosli

“…AOA outperformed the multi-objective ant lion optimization (MOALO) and the Levy-based Interior Search Algorithm (LISA) in terms of power loss reduction and voltage stability. …”
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Enhancing Stroke Prediction with Logistic Regression and Support Vector Machine Using Oversampling Techniques by Syamsul Risal, Fajar Apriyadi, A. Sumardin, Andini Dani Achmad, Annisa Nurul Puteri

“…Previous studies on stroke prediction have been limited by inadequate handling of class imbalance, lack of comprehensive feature selection, and parameter optimization, with accuracy rates usually below 80%. This study compares the performance of Logistic Regression (LR) and Support Vector Machine (SVM) algorithms combined with different oversampling methods—SMOTE, Borderline-SMOTE, ADASYN, Random Over Sampling (ROS), and Random Under Sampling (RUS)—on a stroke prediction dataset. …”
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Research of the Finite State Machine with Programmable Logic as a Part of Digital Information and Control System Based on FPGA by Barkalov A., Titarenko L., Zeleneva I., Hrushko S.

“…The purpose of this research is to determine the effective way of implementation of the control algorithm, as an important functional part of information and control computer systems. …”
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Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation by Julia Geppert, Peter Auguste, Asra Asgharzadeh, Hesam Ghiasvand, Mubarak Patel, Anna Brown, Surangi Jayakody, Emma Helm, Dan Todkill, Jason Madan, Chris Stinton, Daniel Gallacher, Sian Taylor-Phillips, Yen-Fu Chen

“…Objective  To assess the accuracy, clinical effectiveness and cost-effectiveness of using  software with artificial intelligence-derived algorithms to assist in the detection and analysis of lung nodules in computed tomography scans of the chest compared with unassisted reading. …”
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Sensor Node Deployment Optimization for Continuous Coverage in WSNs by Haris Muhammad, Haewoon Nam

“…To address these issues, this paper presents a novel velocity-scaled adaptive search factor particle swarm optimization (VASF-PSO) algorithm that integrates dynamic mechanisms to enhance population diversity, guide the search process more effectively, and reduce uncovered areas. …”
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A new stochastic multi-objective model for the optimal management of a PV/wind integrated energy system with demand response, P2G, and energy storage devices by Hossein Faramarzi, Navid Ghaffarzadeh, Farhad Shahnia

“…Non-dominated sorting genetic algorithm III (NSGA-III) is employed to efficiently search for the optimal solutions. …”
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A novel wide-area fault isolation scheme for regional power systems with changeable network topologies by Guangxiao Zhang, Xiaoyang Tong

“…To address these issues, this paper proposes a novel WAFI scheme utilizing a depth-limited Breadth-First Search (DL-BFS) algorithm. This scheme is designed to isolate faults in regional power systems, adapting to changeable topologies by leveraging wide-area switch status information gathered through the Power Internet of Things (IoT) system. …”
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Bi-objective green supply chain network design under disruption risk through an extended NSGA-II algorithm by Xiaoqing Wang, Gang Chen, Song Xu

“…Compared with the traditional NSGA-II algorithm, the extended NSGA-II algorithm can obtain more Pareto solutions with higher efficiency. …”
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Solving Three-Stage Operating Room Scheduling Problems with Uncertain Surgery Durations by Yang-Kuei Lin, Chin Soon Chong

“…GARS is compared with four other algorithms: a deterministic GA (GAD), a random search (BRS), a greedy randomized insertion and swap heuristic (GRIS), and an improved version of GARS with simulated annealing (GARS_SA). …”
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Crossover operators for molecular graphs with an application to virtual drug screening by Nico Domschke, Bruno J. Schmidt, Thomas Gatter, Richard Golnik, Paul Eisenhuth, Fabian Liessmann, Jens Meiler, Peter F. Stadler

“…Abstract Genetic algorithms are a powerful method to solve optimization problems with complex cost functions over vast search spaces that rely in particular on recombining parts of previous solutions. …”
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Research on Multi-Objective Flexible Job Shop Scheduling Optimization Based on Improved Salp Swarm Algorithm in Rolling Production Mode by Lei Yin, Qi Gao

“…The exploitation capability of the algorithm is enhanced through the global crossover strategy and variety of local search strategies. …”
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