Article
Computer Science, Artificial Intelligence
Yassine Saji, Mohammed Barkatou
Summary: The bat algorithm, a swarm-intelligence-based metaheuristic introduced in 2010, continues to be widely used due to its simplicity and applicability. However, it may face the challenge of getting trapped in local optima when dealing with large complex problems.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Engineering, Mechanical
Zhongbin Wang, Ziqing Wu, Lei Si, Kuangwei Tong, Chao Tan
Summary: This paper presents an improved bat algorithm based on inertial weight and Levy flight to solve the global path planning problem of mobile robots. The algorithm utilizes linear inertial weights, Levy flight, and Cauchy Distribution to prevent premature convergence and enhance local mining ability.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
(2021)
Article
Computer Science, Interdisciplinary Applications
Ali Kaveh, Seyed Milad Hosseini
Summary: Bat algorithm (BA) is improved based on the Doppler effect (IBA-DE) to overcome the shortcomings of the standard BA. The proposed algorithm shows better performance in real-world engineering design problems and can be an efficient optimizer for optimal design of real-size structures.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Ziqiao Yu, Xiaoxia Zhang, Xin Shen
Summary: The DESA-LF algorithm improves the DE algorithm by using the Levy flights mechanism and the Simulated Annealing algorithm, leading to faster convergence speed and enhanced optimization accuracy.
ENGINEERING LETTERS
(2021)
Article
Computer Science, Artificial Intelligence
Jose de Jesus Rubio
Summary: From the control theory perspective, the best control gain achieves a balance between trajectory tracking accuracy and control energy consumption. The bat algorithm is proposed as an alternative for finding the optimal control gain. This paper presents a bat algorithm based control approach to reduce control energy consumption in robots, and a modified bat algorithm based control approach to improve trajectory tracking accuracy in robots. A comparison is made between these two approaches and the simplex based control with regards to trajectory tracking accuracy and control energy consumption in two robots.
Article
Computer Science, Interdisciplinary Applications
Jianxun Liu, Jinfei Shi, Fei Hao, Min Dai
Summary: Researchers propose an enhanced global exploration whale optimization algorithm (EGE-WOA) to improve the convergence behavior and exploration efficiency of the standard WOA algorithm. By introducing Levy flights, new convergent dual adaptive weights, and a mechanism for judging the predation status of whales, the EGE-WOA algorithm achieves better results in the optimization process compared to other algorithms.
ENGINEERING WITH COMPUTERS
(2023)
Article
Mathematics, Applied
Guangyu Zhao, Shigui Ruan
Summary: Recent studies have found that human mobility patterns exhibit nonlocal dynamics and heavy-tailed distributions characterized by Levy flights. This paper proposes an epidemic model with Levy flights to study the spread of infectious diseases. The model considers the dispersal of susceptible and infectious individuals based on heavy-tailed jump distributions. The study focuses on the existence and stability of disease-free and endemic equilibria, as well as the impact of dispersal rates and fractional powers on the spatial profiles of these equilibria.
JOURNAL DE MATHEMATIQUES PURES ET APPLIQUEES
(2023)
Article
Computer Science, Information Systems
Shenghan Yue, Hongbo Zhang
Summary: This paper introduces a hybrid grasshopper optimization algorithm with bat algorithm (BGOA) for global optimization, which combines Levy flight, bat algorithm's local search operation, and a random strategy to enhance exploration and exploitation. The performance evaluation on 23 benchmark test functions demonstrates that BGOA outperforms other algorithms.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Biochemical Research Methods
Nono S. C. Merleau, Matteo Smerlak
Summary: The study implemented a Levy mutation scheme in an evolutionary inverse folding algorithm for RNA design, finding that it increases sequence diversity and reduces algorithm evaluations. Compared to antaRNA, aRNAque was more successful in finding sequences that correctly fold into target structures.
BMC BIOINFORMATICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Chunfeng Wang, Wenxin Song, Peiping Shen
Summary: This paper proposes a new bat algorithm (CABA) based on a novel topology to overcome the shortcomings of the basic bat algorithm (BA). The new topology is designed by integrating the idea of cellular automaton, which helps bats to use information from good neighbors and reduces the risk of falling into local optimum. A new local search equation based on the number of iterations is also presented to alleviate the difficulty of parameter adjustment. The convergence analysis based on martingale theory and the computational complexity of the proposed algorithm are discussed.
JOURNAL OF COMPUTATIONAL SCIENCE
(2023)
Article
Chemistry, Analytical
Waqar Younas, Gauhar Ali, Naveed Ahmad, Qamar Abbas, Muhammad Talha Masood, Asim Munir, Mohammed ElAffendi
Summary: Metaheuristic algorithms, such as the BAT Algorithm, are effectively used in solving optimization problems, including those in the field of optics. However, the original BAT Algorithm may fail to find the global optimum and get stuck in local optima. In this study, the BAT Algorithm is improved by enhancing its local search capability and optimizing the search equation, resulting in better optimal solutions.
Article
Engineering, Marine
Chunhua Tang, Han Wang, Jiahuan Zhao, Yuanqing Tang, Huaran Yan, Yingjie Xiao
Summary: The study proposes an ADP algorithm based on DP algorithm, which determines key points of each trajectory through adaptive threshold adjustment, making compression more accurate and improving computation efficiency. Experimental results demonstrate the advantages of the algorithm in compression rate, distance, length loss rate, and running time.
Article
Energy & Fuels
Tao Lang, Chen Ni, Keqiang Chen, Enxiang Xu, Jia Yin, Xi Shen, Xing Wu, Desheng Zhang
Summary: This study optimized the Elman neural network using the Improved Levy Flight Bat Algorithm (ILBA), establishing the ILBA-Elman cavitation diagnosis model and effectively identifying the cavitation characteristics of non-clogging pumps.
FRONTIERS IN ENERGY RESEARCH
(2023)
Article
Physics, Multidisciplinary
Alejandro P. Riascos, Denis Boyer, Jose L. Mateos
Summary: This paper investigates the spectral theory of random walks subject to resetting on networks of arbitrary topology and presents a general criterion for determining the resetting probability that minimizes the mean first passage time at a target node. The results can be applied to the study of optimal transport.
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL
(2022)
Article
Automation & Control Systems
Yang Zhou, Chengda Lu, Menglin Zhang, Xin Chen, Min Wu, Weihua Cao
Summary: In the geological drilling process, a reliable and highly accurate ROP prediction model is difficult to construct due to data pollution and nonlinearity. A novel ROP model is developed to handle abnormal data and achieve nonlinear fitting using a local outlier factor and support vector regression (SVR) method. A modified bat algorithm (MBA) is used to determine the optimal value of hyperparameters for the SVR-based ROP model. Experimental results show that the developed model has higher ROP prediction accuracy compared to other methods.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
