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Boosted Whale Optimization Algorithm With Natural Selection Operators for Software Fault Prediction

Yousef Hassouneh, Hamza Turabieh, Thaer Thaher, Iyad Tumar, Hamouda Chantar, Jingwei Too
2021 IEEE Access  
INDEX TERMS Software fault prediction, feature selection, binary whale optimization algorithm, adaptive synthetic sampling, classification. , teaching courses in software engineering, internet programming  ...  In this paper, we proposed an enhanced version of the Whale Optimization Algorithm (WOA) by combining it with a single point crossover method.  ...  software fault prediction.  ... 
doi:10.1109/access.2021.3052149 fatcat:6qhesbgztnahfmotntsw2fteni

An Inspired Machine-Learning Algorithm with a Hybrid Whale Optimization for Power Transformer PHM

Wei Zhang, Xiaohui Yang, Yeheng Deng, Anyi Li
2020 Energies  
In addition, compared with other optimization algorithms, the MDE-WOA algorithm has a lower complexity and more stable optimization process.  ...  In particular, to enhance the robustness of the model, we adopt a modified differential evolution whale optimization algorithm (MDE-WOA) to optimize the probabilistic neural network (PNN), namely, the  ...  Hybrid Whale Optimization Algorithm with Modified Differential Evolution Operators In WOA, the Equation (1) requires whale populations to separate from prey and randomly move with different individuals  ... 
doi:10.3390/en13123143 fatcat:qwuh543scbedrft75k4j7rhfsq

An Enhanced Evolutionary Student Performance Prediction Model Using Whale Optimization Algorithm Boosted with Sine-Cosine Mechanism

Thaer Thaher, Atef Zaguia, Sana Al Azwari, Majdi Mafarja, Hamouda Chantar, Anmar Abuhamdah, Hamza Turabieh, Seyedali Mirjalili, Alaa Sheta
2021 Applied Sciences  
The proposed EWOA combines the Whale Optimization Algorithm (WOA) with Sine Cosine Algorithm (SCA) and Logistic Chaotic Map (LCM) to improve the overall performance of WOA.  ...  This paper proposes an evolutionary-based SPP model utilizing an enhanced form of the Whale Optimization Algorithm (EWOA) as a wrapper feature selection to keep the most informative features and enhance  ...  For instance, [35] proposed an improved version of WOA based on Natural Selection Operators and applied it as a wrapper feature selection method for software fault prediction.  ... 
doi:10.3390/app112110237 fatcat:tsx5nxbpjrcghocurr5vr3edyq

Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)

Wei Chen, Haoyuan Hong, Mahdi Panahi, Himan Shahabi, Yi Wang, Ataollah Shirzadi, Saied Pirasteh, Ali Asghar Alesheikh, Khabat Khosravi, Somayeh Panahi, Fatemeh Rezaie, Shaojun Li (+3 others)
2019 Applied Sciences  
The contribution of this work is to present an integrated landslide modelling framework, in which an adaptive neuro-fuzzy inference system (ANFIS) is combined with the two optimization algorithms of whale  ...  optimization algorithm (WOA) and grey wolf optimizer (GWO) at Anyuan County, China.  ...  Figure 6 . 6 Flowchart of the Whale Optimization Algorithm (WOA) algorithm. Figure 6 . 6 Flowchart of the Whale Optimization Algorithm (WOA) algorithm.  ... 
doi:10.3390/app9183755 fatcat:rhdoi7jfevbp7oig2olo7wj3cq

Intelligent Detection of the PV Faults Based on Artificial Neural Network and Type 2 Fuzzy Systems

Ramadoss Janarthanan, R. Uma Maheshwari, Prashant Kumar Shukla, Piyush Kumar Shukla, Seyedali Mirjalili, Manoj Kumar
2021 Energies  
It is found that both the type 2 Fuzzy and ANN can be configured for productive actions in applications for a PV fault analysis, and choice is typically applied.  ...  The methods discussed in this paper lay the groundwork for developing FLSs and ANNs with durable characteristics that will be extremely useful in many functional applications.  ...  and kernel feature in fuzzy implies that the algorithm to boost operation smoothness of the unmonitored panel for various forms.  ... 
doi:10.3390/en14206584 fatcat:gadazcjsu5flnjqm6pmpxtfx3e

Role and Performance of Different Traditional Classification and Nature-Inspired Computing Techniques in Major Research Areas

Samriti Sharma, Gurvinder Singh, Dhanpreet Singh
2018 EAI Endorsed Transactions on Scalable Information Systems  
These techniques have been effectively applied to accurately predict the problems related to stock values, disease diagnosis, sentiment analysis, text processing, gene classification, crop prediction,  ...  The performance of different supervised and nature-inspired computing techniques have been accessed on the basis of different performance metrics.  ...  Principle Component Analysis (PCA), Genetic Algorithm (GA) and Sequential Forward Selection(SFS) along with their merits and de-merits.  ... 
doi:10.4108/eai.13-7-2018.158419 fatcat:bg4pmy2hsjbqzcsecmbx3vtujy

Automated Maintenance Data Classification Using Recurrent Neural Network: Enhancement by Spotted Hyena-Based Whale Optimization

Mustufa Haider Abidi, Usama Umer, Muneer Khan Mohammed, Mohamed K. Aboudaif, Hisham Alkhalefah
2020 Mathematics  
The hybridization of two algorithms, the Whale Optimization Algorithm (WOA) and Spotted Hyena Optimization (SHO), tends to produce a new algorithm—i.e., a Spotted Hyena-based Whale Optimization Algorithm  ...  (SH-WOA), which is adopted for performing feature selection.  ...  Acknowledgments: The authors extend their appreciation to the Deanship of Scientific Research at King Saud University for funding this work through Research Group no. RG-1440-026.  ... 
doi:10.3390/math8112008 fatcat:inbdlbjgnnhcjcjhqy66jd5nqy

A Review of Artificial Intelligence, Big Data, and Blockchain Technology Applications in Medicine and Global Health

Supriya M., Vijay Kumar Chattu
2021 Big Data and Cognitive Computing  
ML algorithms can also analyze large amounts of data called Big data through electronic health records for disease prevention and diagnosis.  ...  intelligence (AI) programs are applied to methods such as diagnostic procedures, treatment protocol development, patient monitoring, drug development, personalized medicine in healthcare, and outbreak predictions  ...  ) for classifying, coupled with two bioinspired algorithms such as genetic algorithm (GA) and binary particle swarm optimization (BPSO) for feature selection.  ... 
doi:10.3390/bdcc5030041 fatcat:x25hkk3fxnbtll7cofmikpys3i

Program

2019 2019 20th International Conference on Intelligent System Application to Power Systems (ISAP)  
The Whale optimization algorithm (WOA) and Grey wolf optimization algorithm (GWO) are used as optimization tools to minimize active power losses of 33 and 69 Bus Test Systems.  ...  Bacterial Foraging Optimization (BFO) The use of these algorithms are wide in nature and is capable of solving various optimization problems.  ...  The system study is conducted for different loading conditions, and the proposed algorithm is compared with state of the art algorithms, namely, grey wolf optimization, and moth flame optimization.  ... 
doi:10.1109/isap48318.2019.9065935 fatcat:n5yuhvudcfemzhr4tazxeei4fi

A Survey of Swarm Intelligence Based Load Balancing Techniques in Cloud Computing Environment

M. A. Elmagzoub, Darakhshan Syed, Asadullah Shaikh, Noman Islam, Abdullah Alghamdi, Syed Rizwan
2021 Electronics  
The algorithms considered in the discussion are Genetic Algorithm, BAT Algorithm, Ant Colony, Grey Wolf, Artificial Bee Colony, Particle Swarm, Whale, Social Spider, Dragonfly, and Raven roosting Optimization  ...  An analysis of the main objectives, area of applications, and targeted issues of each algorithm (with advancements) is presented.  ...  It comprises different operators such as natural selection, crosses over, and mutation. The fitness function is used in natural selection to select the next population.  ... 
doi:10.3390/electronics10212718 fatcat:rj2ibmxflncudbavkteb2cax74

An Enhanced Cloud Computing Architecture focussed at Optimising VM Migration through an efficient Placement Algorithm

Aruna Kumari K
2020 International Journal of Emerging Trends in Engineering Research  
Each layer performs different kinds of operations and provides different types of services.  ...  Step 3 Position update using Squirrel whale optimization algorithm The WOA algorithm assures better accuracy and the effectiveness for selecting the best sequences.  ...  Here, the placement algorithm, named Squirrel Whale Optimization Algorithm (S-WOA) is implemented.  ... 
doi:10.30534/ijeter/2020/92862020 fatcat:72qbjgsdenc2nfojtjcm5f2ym4

Artificial Neural Networks Based Optimization Techniques: A Review

Maher G. M. Abdolrasol, S. M. Suhail Hussain, Taha Selim Ustun, Mahidur R. Sarker, Mahammad A. Hannan, Ramizi Mohamed, Jamal Abd Ali, Saad Mekhilef, Abdalrhman Milad
2021 Electronics  
In this paper, we present an extensive review of artificial neural networks (ANNs) based optimization algorithm techniques with some of the famous optimization techniques, e.g., genetic algorithm (GA),  ...  particle swarm optimization (PSO), artificial bee colony (ABC), and backtracking search algorithm (BSA) and some modern developed techniques, e.g., the lightning search algorithm (LSA) and whale optimization  ...  It is a stochastic global adaptive search optimization technique based on the mechanisms of natural selection Neural Networks Optimizer Optimizer Problem Application Improved ANN [123] PSO To predict airblast-overpressure  ... 
doi:10.3390/electronics10212689 fatcat:oupnikhxdbhedfz5yeatmtj4xa

Artificial intelligence enabled software-defined networking: a comprehensive overview

Majd Latah, Levent Toker
2019 IET Networks  
Software defined networking (SDN) represents a promising networking architecture that combines central management and network programmability.  ...  Most of these algorithms are nature-inspired [40] , from simulated annealing (SA) [41] to genetic algorithms (GA) [42] , and from ant colony optimization (ACO) [43] to whale optimization algorithm  ...  Whale optimization algorithm (WOA) Whale optimization algorithm (WOA) [44] computationally mimics the social behaviour of humpback whales when hunting their prey.  ... 
doi:10.1049/iet-net.2018.5082 fatcat:celiaiit7jhrfnufpoltuecf5y

Applications and Challenges of Artificial Intelligence in Space Missions

Paul A. Oche, Gideon A. Ewa, Nwanneka Ibekwe
2021 IEEE Access  
These limitations have necessitated the need to have a concise survey with a wider scope for those interested in the applications and challenges of AI in the space industry, especially those with technical  ...  ML algorithms now find numerous applications in autonomous navigation, spacecraft health monitoring and operational management of satellite constellations.  ...  Whale Optimization Algorithm (WOA) [60] is a swarm-based meta-heuristic algorithm that emulates the bubble-net hunting maneuver technique of humpback whales. e.  ... 
doi:10.1109/access.2021.3132500 fatcat:2n5el5dcqzgdtc3brca5xwxrfu

Table of Contents

2020 2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)  
Network Materials 2954 Po07-28 Research on Large-scale Multi-objective Optimization Algorithm with Irregular Frontier for Operation Dispatching of New Generation Energy System Integration 2959  ...  with Power-to-gas Precise Fault Location Method of Traveling Wave in Distribution Grid Based on Multiple Novel Traveling Wave Fault Location Algorithm for Distribution Network Based on Binary Tree The  ... 
doi:10.1109/ei250167.2020.9347098 fatcat:uzijufuzb5ab3blgftr5niughe
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