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Current Studies and Applications of Shuffled Frog Leaping Algorithm: A Review

Bestan B. Maaroof, Tarik A. Rashid, Jaza M. Abdulla, Bryar A. Hassan, Abeer Alsadoon, Mokhtar Mohamadi, Mohammad Khishe, Seyedali Mirjalili
2022 Archives of Computational Methods in Engineering  

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2022 pre-print arXiv:2202.03477v1 fatcat:kjnfuotazbg25ncw54y7su526m
Shuffled Frog Leaping Algorithm (SFLA) is one of the most widespread algorithms. It was developed by Eusuff and Lansey in 2006.  ...  SFLA is a population-based metaheuristic algorithm that combines the benefits of memetics with particle swarm optimization.  ...  SFLA UAV flight The dynamic opposition combination controller reaction time of based with genetic SFLA was very 1) Widening the frog leap space 2) Subgroup definitions Distributed generators MSFLA learning  ... 
doi:10.1007/s11831-021-09707-2 fatcat:je2nqbyhlfbcnixfgrsq662jaa
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Bestan B. Maaroof, Tarik A. Rashid, Jaza M. Abdulla, Bryar A. Hassan, Abeer Alsadoon, Mokhtar Mohamadi, Mohammad Khishe, Seyedali Mirjalili. "Current Studies and Applications of Shuffled Frog Leaping Algorithm: A Review." Archives of Computational Methods in Engineering (2022)

A Hybrid Intelligent Optimization Algorithm of Fast Convergence

Yi-ran Li, Chun-na Zhang
2015 International Journal of Hybrid Information Technology  

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A hybrid intelligent optimization algorithm based on quantum particle swarm is presented to solve the problem that the local search ability of traditional SFLA is poor and converges very slowly.  ...  The particle is quantized and introduced chaos mechanism in the algorithm in order to enhance the global search ability, using the escape strategy, the group is divided into three clusters and mutation  ...  This paper proposes an improved shuffled frog leaping algorithm based on quantum particle swarm optimization, in order to accelerate the convergence speed and calculation accuracy of shuffled frog leaping  ... 
doi:10.14257/ijhit.2015.8.1.26 fatcat:2tvvcilnzncmfoeurqrxqwvwsi
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Yi-ran Li, Chun-na Zhang. "A Hybrid Intelligent Optimization Algorithm of Fast Convergence." International Journal of Hybrid Information Technology 8.1 (2015) 295-304

IoT service composition based on improved Shuffled Frog Leaping Algorithm

Zhengyi Tang, Yongbing Wu, Jinshui Wang, Tianwei Ma
2024 Heliyon  

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However, algorithms applied to IoT service composition optimization face common challenges of low search efficiency and insufficient optimization precision, including the Shuffled Frog Leaping Algorithm  ...  It proposes an improved SFLA (ISFLA) based on the original SFLA. The algorithm integrates chaos theory and reverse learning theory for the acquisition of the initial population.  ...  This algorithm introduces chaos theory and a nonlinear convergence factor into the Gray Wolf algorithm.  ... 
doi:10.1016/j.heliyon.2024.e28087 pmid:38586369 pmcid:PMC10998146 fatcat:2bo6navwpvhqbez45se3l7cdx4
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Zhengyi Tang, Yongbing Wu, Jinshui Wang, Tianwei Ma. "IoT service composition based on improved Shuffled Frog Leaping Algorithm." Heliyon 10.7 (2024) e28087

A novel generalized oppositional biogeography-based optimization algorithm: application to peak to average power ratio reduction in OFDM systems

Sotirios K. Goudos
2016 Open Mathematics  

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More specifically, we present a new Generalized Oppositional Biogeography Based Optimization (GOBBO) algorithm which is enhanced with Oppositional Based Learning (OBL) techniques.  ...  In this paper, in order to reduce PTS search complexity we propose a new technique based on biogeography-based optimization (BBO).  ...  The authors in [37] propose a modified chaos clonal shuffled frog leaping algorithm (MCCSFLA)using PTS for PAPR reduction.  ... 
doi:10.1515/math-2016-0066 fatcat:4e253yoh2zfwppq7oqicuag6vi
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Sotirios K. Goudos. "A novel generalized oppositional biogeography-based optimization algorithm: application to peak to average power ratio reduction in OFDM systems." Open Mathematics 14.1 (2016)

A Review on Recent Advancements in FOREX Currency Prediction

Md. Saiful Islam, Emam Hossain, Abdur Rahman, Mohammad Shahadat Hossain, Karl Andersson
2020 Algorithms  

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We used a keyword-based searching technique to filter out popular and relevant research. Moreover, we have applied a selection algorithm to determine which papers to include in this review.  ...  Our review also shows that many deep learning algorithms, such as gated recurrent unit (GRU) and long short term memory (LSTM), have been fully explored and show huge potential in time series prediction  ...  ISFL algorithm is an improved version of the shuffled frog leaping algorithm (SFLA) wherein convergence the speed of the network is improved along with the predictive ability of the network.  ... 
doi:10.3390/a13080186 fatcat:pmcbxqcgsvhedep6qvkx7qmssy
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Md. Saiful Islam, Emam Hossain, Abdur Rahman, Mohammad Shahadat Hossain, Karl Andersson. "A Review on Recent Advancements in FOREX Currency Prediction." Algorithms 13.8 (2020) 186

An Overview of Mutation Strategies in Bat Algorithm

Waqas Haider Bangyal, Jamil Ahmad, Hafiz Tayyab, Sobia Pervaiz
2018 International Journal of Advanced Computer Science and Applications  

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This study presents a comprehensive survey of the various BA algorithms based on mutation strategies.  ...  Bat algorithm (BA) is a population based stochastic search technique encouraged from the intrinsic manner of bee swarm seeking for their food source.  ...  By the usage of meme transfer process with respect to Shuffled Frog Leaping Algorithm (SFLA), a local search capability is extended.  ... 
doi:10.14569/ijacsa.2018.090866 fatcat:usxr4tvhijchxmj2dggnmdwaqi
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Waqas Haider Bangyal, Jamil Ahmad, Hafiz Tayyab, Sobia Pervaiz. "An Overview of Mutation Strategies in Bat Algorithm." International Journal of Advanced Computer Science and Applications 9.8 (2018)

How Medicine Informs Informatics: Information is Asymmetry, Not Entropy§

Hector Sabelli
2008 Open Cybernetics and Systemics Journal  

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A concept of information as asymmetry in multiple dimensions is based on the demonstration that causal action, not hypothetical chance events, is a parsimonious explanation of novelty.  ...  Mathematical experiments show that Bios is generated causally by generic processes present at multiple levels of organization: (1) unidirectional action, (2) bipolar opposition (e.g. electromagnetic energy  ...  As energy increases, there are periodic oscillations, chaos, and bios which includes multiple leaps ('infinitation').  ... 
doi:10.2174/1874110x00802010106 fatcat:7z4y3bgffrd4vm2gifh6yofxqe
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Hector Sabelli. "How Medicine Informs Informatics: Information is Asymmetry, Not Entropy§." Open Cybernetics and Systemics Journal 2.1 (2008) 106-121

Frog-Snake prey-predation Relationship Optimization (FSRO) : A novel nature-inspired metaheuristic algorithm for feature selection [article]

Hayata Saitou, Harumi Haraguchi
2024 arXiv   pre-print

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This study proposes the Frog-Snake prey-predation Relationship Optimization (FSRO) algorithm, inspired by the prey-predation relationship between frogs and snakes for application to discrete optimization  ...  It was also proved that dynamic search control by evolutionary game theory is an effective method, and the proposed algorithm has the ability of a well-balanced search, achieving the two objectives of  ...  Rajamohana et al. proposed the hybrid approach of improved BPSO (iBPSO) and shuffled frog leaping algorithm (SFLA), named iBPSO_SFLA [40] .  ... 
arXiv:2403.18835v1 fatcat:schsuz2lnzgcpc7ovqesujbpla
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Hayata Saitou, Harumi Haraguchi. "Frog-Snake prey-predation Relationship Optimization (FSRO) : A novel nature-inspired metaheuristic algorithm for feature selection." arXiv (2024)

An Adaptive Shrinking Grid Search Chaotic Wolf Optimization Algorithm Using Standard Deviation Updating Amount

Dongxing Wang, Xiaojuan Ban, Linhong Ji, Xinyu Guan, Kang Liu, Xu Qian
2020 Computational Intelligence and Neuroscience  

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Furthermore, opposite-middle raid method (OMR) is used in the wolf pack algorithm to accelerate its convergence rate.  ...  The experimental results indicate that compared with traditional genetic algorithm (GA), particle swarm optimization (PSO), leading wolf pack algorithm (LWPS), and chaos wolf optimization algorithm (CWOA  ...  Artificial shuffled frog leaping algorithm (SFLA) [13] was put forward through the simulation of the frog groups to share information foraging process and exchange mechanism.  ... 
doi:10.1155/2020/7986982 pmid:32508906 pmcid:PMC7251436 fatcat:tfltarjc7zhl3i5pcweckg23cm
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Dongxing Wang, Xiaojuan Ban, Linhong Ji, Xinyu Guan, Kang Liu, Xu Qian. "An Adaptive Shrinking Grid Search Chaotic Wolf Optimization Algorithm Using Standard Deviation Updating Amount." Computational Intelligence and Neuroscience (2020) 1-15

Improved Monarch Butterfly Optimization Algorithm Based on Opposition-Based Learning and Random Local Perturbation

Lin Sun, Suisui Chen, Jiucheng Xu, Yun Tian
2019 Complexity  

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To solve the issues, this paper develops a novel MBO algorithm based on opposition-based learning (OBL) and random local perturbation (RLP).  ...  Finally, an OBL and RLP-based improved MBO (OPMBO) algorithm with its complexity analysis is developed, following on which many experiments on a series of different dimensional benchmark functions are  ...  Eusuff and Lansey [8] presented a shuffled frog-leaping algorithm (SFLA), which is inspired from the memetic evolution of frogs seeking food in a pond.  ... 
doi:10.1155/2019/4182148 fatcat:yrcrzdeqrfdsdb3m6vvxbj7nmq
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Lin Sun, Suisui Chen, Jiucheng Xu, Yun Tian. "Improved Monarch Butterfly Optimization Algorithm Based on Opposition-Based Learning and Random Local Perturbation." Complexity (2019) 1-20

Conventional and Metaheuristic Optimization Algorithms for Solving Short Term Hydrothermal Scheduling Problem: A Review

Muhammad Salman Fakhar, Sheroze Liaquat, Syed Abdul Rahman Kashif, Akhtar Rasool, Muhammad Khizer, Muhammad Ahmad Iqbal, Muhammad Anas Baig, Sanjeevikumar Padmanaban
2021 IEEE Access  

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INDEX TERMS Short term hydrothermal scheduling, conventional algorithms, meta-heuristic algorithms, no free lunch theorem. VOLUME 9, 2021 D.  ...  INTERIOR POINT (IP) ALGORITHMS APPLIED ON STHTS PROBLEM According to [2], reference [52], implemented the primal-dual IP algorithm to solve the CSTHTS problem on Brazilian 25998 VOLUME 9, 2021  ...  and convergence accuracy of an original shuffled frog leaping algorithm.  ... 
doi:10.1109/access.2021.3055292 fatcat:xnb7xfhvgbht3diqqnht633b6u
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Muhammad Salman Fakhar, Sheroze Liaquat, Syed Abdul Rahman Kashif, Akhtar Rasool, Muhammad Khizer, Muhammad Ahmad Iqbal, Muhammad Anas Baig, Sanjeevikumar Padmanaban. "Conventional and Metaheuristic Optimization Algorithms for Solving Short Term Hydrothermal Scheduling Problem: A Review." IEEE Access (2021) 1-1

Performance assessment and exhaustive listing of 500+ nature inspired metaheuristic algorithms [article]

Zhongqiang Ma, Guohua Wu, Ponnuthurai N. Suganthan, Aijuan Song, Qizhang Luo
2022 arXiv   pre-print

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In addition, whether these algorithms have a search bias to the center of the search space is investigated.  ...  Generally, the inventors attribute the novelties of these new algorithms to inspirations from either biology, human behaviors, physics, or other phenomena.  ...  ∆𝑡isthetimeincrement.For detailed information about HGSA, please refer to[112].(10)Memeticfrogleapingalgorithm (MFLA)MFLA is an improved version of the shuffled frog leaping algorithm (SFLA) that was  ... 
arXiv:2212.09479v1 fatcat:y2o56g47xjbehhnd3apzcse24e
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Zhongqiang Ma, Guohua Wu, Ponnuthurai N. Suganthan, Aijuan Song, Qizhang Luo. "Performance assessment and exhaustive listing of 500+ nature inspired metaheuristic algorithms." arXiv (2022)

Swarm Intelligence Algorithms for Feature Selection: A Review

Lucija Brezočnik, Iztok Fister, Vili Podgorelec
2018 Applied Sciences  

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In this manner, using the proposed framework and the provided explanations, one should be able to design an SI approach to be used for a specific FS problem.  ...  We performed a comprehensive literature review of SI algorithms and provide a detailed overview of 64 different SI algorithms for FS, organized into eight major taxonomic categories.  ...  For example, in [101] , the Lévy flight is included to avoid premature convergence of the Shuffled Frog Leaping Algorithm (SFLA) for cancer classification.  ... 
doi:10.3390/app8091521 fatcat:oymef7dijzekhin4leripkmjje
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Lucija Brezočnik, Iztok Fister, Vili Podgorelec. "Swarm Intelligence Algorithms for Feature Selection: A Review." Applied Sciences 8.9 (2018) 1521

MFO-SFR: An Enhanced Moth-Flame Optimization Algorithm Using an Effective Stagnation Finding and Replacing Strategy

Mohammad H. Nadimi-Shahraki, Hoda Zamani, Ali Fatahi, Seyedali Mirjalili
2023 Mathematics  

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To overcome these limitations, an enhanced moth-flame optimization algorithm named MFO-SFR was developed to solve global optimization problems.  ...  The MFO-SFR algorithm introduces an effective stagnation finding and replacing (SFR) strategy to effectively maintain population diversity throughout the optimization process.  ...  based on the shuffled frog leaping algorithm and a death mechanism.  ... 
doi:10.3390/math11040862 fatcat:m6lp7kmimvhqhe2hmuvcmog46u
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Mohammad H. Nadimi-Shahraki, Hoda Zamani, Ali Fatahi, Seyedali Mirjalili. "MFO-SFR: An Enhanced Moth-Flame Optimization Algorithm Using an Effective Stagnation Finding and Replacing Strategy." Mathematics 11.4 (2023) 862

Quasi-reflection based symbiotic organisms search algorithm for solving static optimal power flow problem

Anulekha Saha, A.K. Chakraborty, Priyanath Das
2018 Scientia Iranica. International Journal of Science and Technology  

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In [32], C Zhang et. al proposed an enhanced version of the 46 Opposition-Based PSO known as the Quasi-oppositional comprehensive learning PSO which employed opposition based learning (OBL) 47 for population  ...  An opposition based learning 10 technique named quasi-reflection, is merged into existing SOS to enhance its prospects of getting nearer to superior quality solution.  ...  "A modified shuffle frog leaping algorithm for multi-555 objective optimal power flow", Energy, 36(11), pp.6420-6432 (2011). 39 . 39 Ongsakul, W. and Bhasaputra, P.  ... 
doi:10.24200/sci.2018.20179 fatcat:ug2zpemlybdk7aiyp343ywhgo4
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Anulekha Saha, A.K. Chakraborty, Priyanath Das. "Quasi-reflection based symbiotic organisms search algorithm for solving static optimal power flow problem." Scientia Iranica. International Journal of Science and Technology 0.0 (2018) 0-0

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