2024 Binary whale optimization

Binary whale optimization

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August undefined, 2024

WebOct 16, 2024 · Whale optimization algorithm is a novel metaheuristic algorithm that imitates the social behavior of humpback whales. In this algorithm, the bubble-net hunting … WebEncouraged by the prodigious performance of the nature-inspired algorithm, the binary whale optimization approach has been eventuated to get to grips with the VMA issue with the focus on minimizing the resource waste and volume of servers working actively. The deliberate approach's accomplishment is assessed against the literature's well-known ...

TFSFB: Two-stage feature selection via fusing fuzzy multi …

WebApr 10, 2024 · From the results obtained, the U-shaped transfer function was able to improve the BPSO’s performance greatly. Nadimi-Shahraki et al. [27] proposed an improved whale optimization algorithm called E-WOA. The study was applied to solve continuous optimization problems with robust search mechanisms and pooling strategies. WebMay 22, 2024 · The Whale Optimization Algorithm (WOA) is a new optimization technique for solving optimization problems. This algorithm includes three operators to simulate … lazy boy recliners waco tx

Binary whale optimization algorithm: a new metaheuristic …

WebApr 26, 2024 · Python implementation of the Whale Optimization Algorithm. Description. Python implementation of the Whale Optimization Algorithm. Additional information can be found at the algorithm's webpage. Installation Dependancies. Python 3.6; SciPy 2.2.4; Running the code. python run.py will run the WOA with default arguments. WebA tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. WebMar 30, 2024 · Grey wolf optimizer (GWO) is a new meta-heuristic algorithm. The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Three main stages of hunting include: encircling, tracking and attacking. It is easy to fall into local optimum when used to optimize high-dimensional data, and there is imbalance … lazy boy recliners waldorf md

A binary whale optimization algorithm with hyperbolic tangent …

A Clustering Scheme Based on the Binary Whale Optimization …

WebThe whale optimization algorithm (WOA) is an intelligence-based technique that simulates the hunting behaviour of humpback whales in nature. In this article, an adaptation of the … WebBinary whale optimization. To address this feature section optimization issue for this BWOA model [50], the continuous whale position is converted into a binary form, where 1 and 0 denote the case in which the feature is selected and not selected, respectively [41]. lazy boy recliners wall awayWebThe whale optimization algorithm (WOA) is an intelligence-based technique that simulates the hunting behaviour of humpback whales in nature. In this article, an adaptation of the original version of the WOA is made for handling binary optimization problems. For this purpose, two transfer functions (S-shaped and V-shaped) are presented to map a … lazy boy recliners ugly

"WebJan 10, 2024 · Whale Optimization Algorithm for Feature Selection. Application of Whale Optimization Algorithm (WOA) in the feature selection tasks. This toolbox offers a … " - Binary whale optimization

Binary whale optimization

WebAbstract: To overcome the curse of dimensionality problem, a binary variant of the whale optimization algorithm (bWOA) with V-shaped is proposed. A hyperbolic tangent function is employed as a fitness function for mapping the continuous values to binary ones. Feature selection (FS) has attracted much attention in recent years and played a critical role in … WebSep 27, 2024 · Since the whale optimization algorithm has the advantages of simple operation, few parameters to adjust, and a strong ability to jump out of the local optimum, …

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WebAug 31, 2024 · An Improved Binary Whale Optimization Algorithm (IBWOA) is then proposed in order to achieve a better dimension reduction on the premise of ensuring accuracy for feature selection of intrusion detection. In the experimental stage, multiple data sets in the UCI database for machine learning were used for verification by comparing … WebMay 10, 2024 · Whale optimization algorithm is one of the recent nature-inspired optimization technique based on the behavior of bubble-net hunting strategy. In this …

WebDec 26, 2024 · The results show that BGWOPSO significantly outperformed the binary GWO (BGWO), the binary PSO, the binary genetic algorithm, and the whale optimization algorithm with simulated annealing when using several performance measures including accuracy, selecting the best optimal features, and the computational time. WebNov 24, 2024 · The binary whale optimization algorithm with the S-shaped (BWOA-S) variant of BWOA is used to search over the adaptive feature space to select the best features. The features with a value of 1 are considered appropriate, while those with a value of 0 are deemed inappropriate. Using this algorithm, the higher accuracy with a smaller …

WebSep 1, 2024 · The whale optimization algorithm (WOA) is a prominent problem solver which is broadly applied to solve NP-hard problems such as feature selection. However, it and most of its variants suffer from low population diversity and poor search strategy. Introducing efficient strategies is highly demanded to mitigate these core drawbacks of … WebJan 8, 2024 · “A binary whale optimization algorithm with hyperbolic tangent fitness function for feature selection.” 2024 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS). IEEE, 2024. 5. Hussien Abdelazim G., et al. “S-shaped binary whale optimization algorithm for feature selection.” Recent trends in …

WebApr 12, 2024 · The binary version of the binary whale optimization algorithm (BWOA) algorithm is also provided based on a time-varying transfer function to solve feature selection problems (Chu and Tsai 2007). In this paper, a new time-varying V-shaped transfer function is employed to convert the continuous space to the binary space in the CSO … lazy boy recliners websterWebAug 4, 2024 · The whale optimization algorithm (WOA) is a novel evolutionary algorithm inspired by the behavior of whales. Similar to other evolutionary algorithms, entrapment in local optima and slow convergence speed are two probable problems it encounters in solving challenging real applications. This paper presents a novel chaotic whale … lazy boy recliners wholesaleWebSep 27, 2024 · After cluster formation, the discrete binary whale optimization (BWOA) algorithm is used for cluster head selection with the optimization objectives of reduced energy consumption and load balancing, where the fitness function is defined based on parameters such as residual energy of UAV nodes, intra-cluster distance, inter-cluster … kearney pumpkin patch couponsWebApr 11, 2024 · The performance of RF is improved further using a dimensionality reduction method called binary whale optimization algorithm (BWOA) to eliminate the irrelevant/redundant features. Finally, the ... lazy boy recliners warwick riWebBinary Whale Optimization Algorithm (Kumar and Kumar 2024-Oct-16) is an algorithm that simulates the social behavior of humpback whales. This algorithm employs a binary … kearney rentals listingWebBINARY WHALE OPTIMIZATION ALGORITHM, ITS APPLICATION FOR SOLUTION OF POWER LOSS REDUCTION AND DEMAND SIDE MANAGEMENT If you are looking for … lazy boy recliners western coloradoWebThis article presents a metaheuristic approach, the binary whale optimization algorithm (BWOA), to solve complex, constrained, non-convex, binary-nature profit-based unit … kearneys chemist roscommon