Improved Ant Colony Algorithm⁃Based Mobile Robot Path Planning by Jian ZHANG, Lina JIN, Yuanbo SHI, Nannan MA

“…Finally, simulation experiments were conducted using Matlab to compare the traditional ant colony algorithm and the improved ant colony algorithm on three different grid maps. …”
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Binary composite crossover genetic algorithm for locating critical slip surface by Wei Qin, Jiancheng Zhao

“…Moreover, the effects of slope structural characteristics should be considered when setting the number of control variables and population size. Algorithm comparison results show that RGA-BCC has better performance in solving the slope CSS problem compared with differential evolution (DE) and sparrow search algorithm (SSA).…”
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Application of Genetic Algorithms for Finding Edit Distance between Process Models by Anna A. Kalenkova, Danil A. Kolesnikov

“…In particular, we find distances between BPMN (Business Process Model and Notation) models discovered from event logs by using different process discovery algorithms. We show that the genetic algorithm allows us to dramatically reduce the time of comparison and produces results which are close to the optimal solutions (minimal graph edit distances calculated by the exact search algorithm).…”
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Electric Vehicle Routing Problem: A Review of Recent Approaches and Algorithms by Yingkai XU

“…Subsequently, various algorithms employed in these studies are analyzed and summarized. …”
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Backtracking Algorithms for Constructing the Hamiltonian Decomposition of a 4-regular Multigraph by Alexander V. Korostil, Andrei V. Nikolaev

“…Based on the results of the computational experiments for undirected multigraphs, both backtracking algorithms lost to the known heuristic general variable neighborhood search algorithm. …”
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Advanced Phasmatodea Population Evolution Algorithm for Capacitated Vehicle Routing Problem by Jiawen Zhuang, Shu-Chuan Chu, Chia-Cheng Hu, Lyuchao Liao, Jeng-Shyang Pan

“…Then, we test APPE by CEC2013. We compare the proposed APPE with differential evolution (DE), sparrow search algorithm (SSA), Harris Hawk optimization (HHO), and PPE. …”
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Optimization of Railway Transportation Planning by Combining TST Model and Genetic Algorithm by Wei Cao, Fan Chen

“…The GA uses its global search ability to optimize train routing and timetabling. …”
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A Two-Stage Genetic Algorithm for Beam–Slab Structure Optimization by Zhexi Yang, Wei-Zhen Lu

“…Numerical experiments on the prototype case indicate that the algorithm can generate results that meet engineering accuracy requirements within 100 iterations, outperforming comparable algorithms in both efficiency and accuracy. …”
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Optimization of Deep Neural Networks Using a Micro Genetic Algorithm by Ricardo Landa, David Tovias-Alanis, Gregorio Toscano

“…Our approach applies the paradigm of transfer learning, enabling training without the need for extensive datasets. A micro genetic algorithm requires fewer computational resources due to its reduced population size, while still preserving a substantial degree of the search capabilities found in algorithms with larger populations. …”
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Research on Fault Extraction Method of CYCBD Based on Seagull Optimization Algorithm by Qianqian Zhang, Haochi Pan, Qiuxia Fan, Fujing Xu, Yulong Wu

“…Therefore, in order to determine filter length adaptively, a method to optimize CYCBD by using the seagull optimization algorithm (SOA) is proposed in this paper. In this method, the ratio of SNR to kurtosis is used as the objective function; firstly, SOA is used to search the optimal filter length in CYCBD by iteration, and then it uses the optimal filter length to perform CYCBD; finally, the frequency-domain waveform is determined through Fourier transformation. …”
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Optimization of UAV Airfoil Based on Improved Particle Swarm Optimization Algorithm by Tieying Jiang, Liang Jiang

“…When compared to standard particle swarm optimization, selective regenerative particle swarm optimization, and improved particle swarm optimization, the results indicate that the maximum thickness of the optimized rear airfoil decreases from 19.77% to 18.76%, the number of iterations decreases from 112 to 31, and the search speed of the improved particle swarm optimization significantly improves; the CFD results indicate that the optimized rear airfoil exhibits superior aerodynamic performance. …”
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Forecasting Renewable energy and electricity consumption using evolutionary hyperheuristic algorithm by Yang Cao, Jun Yu, Rui Zhong, Masaharu Munetomo

“…The configuration of optimal parameters for these models typically requires optimization algorithms, but conventional algorithms may struggle with fixed search patterns and limited robustness. …”
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Eel and Grouper Optimizer improvement three-stage algorithm for photovoltaic MPPT by ZiJian Zhou, YanHong Fang

“…Firstly, the chaotic mapping is used to initialize the distribution of particles to improve the search performance. After the EGO as the main algorithm completed the first position update, the GOA was used to redistribute the particles, and finally the tumbling formula was introduced to further improve the ability of particles to jump out of the local optimal solution. …”
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Conflict-based strategy combined integrated optimal conflict avoidance algorithm by Kejin Jia, Cheng Peng, Yun Du, Hongwei Wen, Yufei Gao, Zhe Zhang

“…Next, the low-level model of the traditional CBS algorithm is improved, transforming the path search process into two distinct algorithms with different focuses. …”
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Solving the maximum cut problem using Harris Hawk Optimization algorithm. by Md Rafiqul Islam, Md Shahidul Islam, Pritam Khan Boni, Aldrin Saurov Sarker, Md Asif Anam

“…The proposed system provided comparatively better outcomes on the G-set dataset than other state-of-the-art algorithms. …”
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Improved Grey Wolf Algorithm: A Method for UAV Path Planning by Xingyu Zhou, Guoqing Shi, Jiandong Zhang

“…The Grey Wolf Optimizer (GWO) algorithm is recognized for its simplicity and ease of implementation, and has become a preferred method for solving global optimization problems due to its adaptability and search capabilities. …”
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Tuning and Performance Analysis of Second-Order Linear Active Disturbance Rejection Controller for Trajectory Tracking and Balancing the Rotary Inverted Pendulum by Janeshwaran Gunasekaran, Ezhilarasi Deenadayalan

“…In this proposed work, four different tuning approaches, using the Atomic Orbital Search (AOS) optimization algorithm concerning the number of tuning parameters, are presented. …”
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Variational Quantum Algorithms for the Allocation of Resources in a Cloud/Edge Architecture by Carlo Mastroianni, Francesco Plastina, Jacopo Settino, Andrea Vinci

“…In particular, we compare the performance, in terms of success probability, of two algorithms, i.e., quantum approximate optimization algorithm and variational quantum eigensolver (VQE). …”
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Masterpiece Optimization Algorithm: A New Method for Solving Engineering Problems by Mohammad Reza Ghasemi, Nader Haji Aghajanpour, Hamed Ghohani Arab

“…The "Masterpiece Optimization Algorithm (MOA)" is introduced as a new nature-inspired meta-heuristic optimization method that mimics the masterpiece of Japanese Male Puffer Fishes (MPFs) that succeed in mating. …”
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Hierarchical Artificial Bee Colony Algorithm for RFID Network Planning Optimization by Lianbo Ma, Hanning Chen, Kunyuan Hu, Yunlong Zhu

“…The results demonstrate that the proposed HABC obtains remarkable performance on most chosen benchmark functions when compared to several successful swarm intelligence and evolutionary algorithms. …”
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