Transportation and production collaborative scheduling optimization with multi-layer coding genetic algorithm for non-pipelined wells by Qiushi Li, Yuze Li, Haitong Sun, Wei Song, Honghong Li, Xiaoyong Gao, Chaodong Tan, Yaoyun Liu, Hongbing Liu

“…The results show that, compared with the exact algorithm, the genetic algorithm designed in this paper can quickly solve a feasible scheduling scheme under different oil well scales, especially in the case of large-scale (200 wells) oil well groups. …”
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Balancing accuracy and convergence rate: a hybrid optimisation algorithm for parameter identification of unmanned marine vehicles by Zheng Li, Caoyang Yu, Yiming Zhong, Yuanju Cao, Xianbo Xiang, Lian Lian

“…Secondly, the proposed NMA algorithm integrates the Adam algorithm to guide the search of the Nelder-Mead (NM) simplex algorithm. …”
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Flavivirus and Filovirus EvoPrinters: New alignment tools for the comparative analysis of viral evolution. by Thomas Brody, Amarendra S Yavatkar, Dong Sun Park, Alexander Kuzin, Jermaine Ross, Ward F Odenwald

“…<h4>Methodology/principal finding</h4>We have adapted EvoPrinter alignment algorithms for the rapid comparative analysis of Flavivirus or Filovirus sequences including Zika and Ebola strains. …”
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A new localization method based on improved particle swarm optimization for wireless sensor networks by Qiaohe Yang

“…Based on the convergence conditions and initial search space characteristics of the PSO algorithm in WSN localisation, an improved PSO algorithm (improved self‐adaptive inertia weight particle swarm optimisation [ISAPSO]) is proposed. …”
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Resource scheduling strategy based on simulated annealing algorithm in hybrid D2D cellular networks by Xiang YU, Haibo ZHANG, Lu YANG

“…D2D communication is a short distance communication mode in the future 5G network.In the process of communication,the information is transmitted from the sender to the receiver directly,without the need to transmit through the base station.The introduction of D2D communication in the traditional cellular network can greatly improve the total throughput of the system,increase the utilization of spectrum resources and reduce the power consumption of the transmitter.A resource allocation method which was used in hybrid D2D cellular network was mainly introduced,spectrum resources was distributed by Lagrange multiplier method combined with simulated annealing algorithm,a consideration of channel capacity and energy consumption of the resource scheduling strategy based on simulated annealing algorithm was put forward.This algorithm was simulated by the simulation platform in Vienna,compared to the traditional greedy optimization algorithm,it can significantly increase the total system throughput and bandwidth utilization and reduce the power consumption.In addition,the distributed algorithm was adopted,that D2D users searched for a suitable target channel and calculated their transmit power according to the algorithm steps,which reduced the signaling overhead of the base station.…”
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Modelling the effect of vaccination on the spread of COVID-19 via a novel evolutionary ensemble learning algorithm by Mohammad Hassan Tayarani Najaran

“…Then, this model is used as the fitness function in an optimisation algorithm, which for a population with a certain percentage of vaccinated people, searches through the set of policies and finds the best set of policies that minimises the cost to society and the number of infected people. …”
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Comparative Analysis of Machine learning Methods to Identify signs of suspicious Transactions of Credit Institutions and Their Clients by Yu. M. Beketnova

“…The study presents the results of solving the problem of classifying credit institutions in terms of possible involvement in money laundering processes, the results of analyzing data on the activities of credit institutions by methods of detecting anomalies. A comparative analysis of the results obtained using various modern algorithms for the classification and search for anomalies is carried out. …”
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Study on modified Whitley model with different number and various methods of forming elite individuals by N. S. Krivoshey, V. G. Kobak

“…The algorithm results are compared for one, two, three and four elite individuals.…”
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Using SABC Algorithm for Scheduling Unrelated Parallel Batch Processing Machines Considering Deterioration Effects and Variable Maintenance by Ziyang Ji, Jabir Mumtaz, Ke Ke

“…To verify the effectiveness of the proposed algorithm, we designed comparative experiments, comparing the SABC algorithm with the NSGA-III algorithm on problem instances of different scales. …”
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Integrated Scheduling of Multi-Objective Job Shops and Material Handling Robots with Reinforcement Learning Guided Meta-Heuristics by Zhangying Xu, Qi Jia, Kaizhou Gao, Yaping Fu, Li Yin, Qiangqiang Sun

“…Second, three meta-heuristics, i.e., genetic algorithm (GA), differential evolution, and harmony search, are employed, and their variants with seven local search operators are devised to enhance solution quality. …”
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Optimization the stochastic optimal reactive power dispatch with renewable energy resources using a modified dandelion algorithm. by Naima Agouzoul, Aziz Oukennou, Faissal Elmariami, Mohamed Ebeed, Jamal Boukherouaa, Rabiaa Gadal, Mokhtar Aly, Emad A Mohamed

“…The Comparative results demonstrate that the MDO algorithm is the best for solution the SORPD against sand cat swarm optimization (SCSO), gorilla troop optimizer (GTO), harmony search (HS), and Beluga whale optimization (BWO).…”
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Path Planning for Coal Mining Masonry Robots Combined With Trajectory Optimization by Xingyi Qian, Yan Wang

“…Simulation results show that the integrated algorithm significantly reduces path length, sampling points, and search time compared to traditional RRT, RRT*, and informed RRT*. …”
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A High‐Performance MPPT Solution for Solar DC Microgrids: Leveraging the Hippopotamus Algorithm for Greater Efficiency and Stability by Debabrata Mazumdar, Taha Selim Ustun, Chiranjit Sain, Ahmet Onen

“…Performance of HA's is compared with three established optimization algorithms: Grey Wolf Optimization, Cuckoo Search Algorithm and Particle‐Swarm Optimization across different operating scenarios and partial shading circumstances. …”
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Evolution algorithm with adaptive genetic operator and dynamic scoring mechanism for large-scale sparse many-objective optimization by Xia Wang, Wei Zhao, Jia-Ning Tang, Zhong-Bin Dai, Ya-Ning Feng

“…Ordinary large-scale multi-objective optimization algorithms implement undifferentiated update operations on all decision variables, which reduces search efficiency, so the Pareto solutions obtained by the algorithms fail to meet the sparsity requirements. …”
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Coordinated optimal scheduling of island microgrid for power-hydrogen-carbon integration based on SAO-NSGA-II algorithm by XI Honglei, SUN Jingliao, QU Hezuo, SHI Zhengchai, HU Changhong, LIU Jinyuan

“…The improved algorithm demonstrates enhanced global search capability and better convergence results. …”
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Multi-Objective Optimization Scheduling of a Wind–Solar Energy Storage Microgrid Based on an Improved OGGWO Algorithm by Dong Mo, Qiuwen Li, Yan Sun, Yixin Zhuo, Fangming Deng

“…Furthermore, Gaussian walk and Lévy flight are introduced to enhance the search capability of the proposed OGGWO algorithm. …”
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Multi-Strategy Improved Red-Tailed Hawk Algorithm for Real-Environment Unmanned Aerial Vehicle Path Planning by Mingen Wang, Panliang Yuan, Pengfei Hu, Zhengrong Yang, Shuai Ke, Longliang Huang, Pai Zhang

“…To evaluate the effectiveness of the proposed algorithm, we compare it with 11 other algorithms using the IEEE CEC2017 test set and perform statistical analysis to assess differences. …”
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Adaptive Bi-Directional RRT Algorithm for Three-Dimensional Path Planning of Unmanned Aerial Vehicles in Complex Environments by Nan Li, Sang Ik Han

“…In contrast to the Bi-RRT algorithm, which utilizes a random sampling strategy and a fixed step size, potentially leading to inefficiencies and limited search effectiveness, the ABi-RRT algorithm incorporates a dynamic mechanism. …”
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An improved RIME optimization algorithm based maximum power point tracking method for photovoltaic system under partially shading condition by Yonggang Wang, Wenjia Zhang, Yuanchu Ma, Yanan Yu, Haoran Chen

“…Additionally, the introduction of an adaptive inertia weight dynamically adjusts the search strategy, thereby increasing the adaptability, convergence speed, and search efficiency of algorithm. …”
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Multi-robot path planning in online dynamic obstacle environments based on parallel cooperative strategy optimization algorithm by Chia-Hung Wang, Kun Hu, Xiaojing Wu

“…This paper introduces the parallel cooperative strategy reptile search algorithm (PC-RSA) for multi-robot path planning in such dynamic settings. …”
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