Large-scale global optimization based on hybrid swarm intelligence algorithm

Mashwani, Wali Khan; Hamdi, Abdelouahed; Jan, Muhammad Asif; Göktaş, Atilla; Khan, Farid Ullah

doi:10.3233/jifs-192162

Cited by 18 publications

(11 citation statements)

References 49 publications

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“…In the context of massive digital music, the traditional operation strategy makes the Matthew effect particularly obvious [ 11 ]. The long-lasting invariance of the popular song charts makes it difficult to discover new songs on the shelves and exacerbates the problem of the sparsity of user listening behaviour [ 12 ]. The recommendation system, through content-based filtering and model mining methods, allows new songs to be recommended to users, and these new songs match users' music preferences [ 13 ].…”

Section: Status Of Researchmentioning

confidence: 99%

Variational Fuzzy Neural Network Algorithm for Music Intelligence Marketing Strategy Optimization

Sun

2022

Computational Intelligence and Neuroscience

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In this paper, we use a variational fuzzy neural network algorithm to conduct an in-depth analysis and research on the optimization of music intelligent marketing strategy. The music recommendation system proposed in this paper includes a user modelling module, audio feature extraction module, and recommendation algorithm module. The basic idea of the recommendation algorithm is as follows: firstly, the historical behavioural information of music users is collected, and the user preference model is constructed by using the method of matrix decomposition of the hidden semantic model; then, the audio resources in the system are preprocessed and the spectrum map that can represent the music features is extracted; the similarity between the user’s preferred features and the music potential features are calculated to generate recommendations for the target user. The user-music dataset for model training and testing is constructed in-house, and the network model structure used for system experiments is designed based on a typical convolutional neural network model, while the model training tuning parameters are compared and selected. Finally, the model is trained and tested in this paper, and the system is evaluated in terms of both prediction rating accuracy and recommendation list generation accuracy using root mean square error, accuracy, recall, and F1 value as recommendation quality evaluation metrics. The experimental results show that the recommendation algorithm in this paper has certain feasibility and effectiveness. Compared with other traditional music recommendation algorithms, this paper makes full use of the powerful advantage of deep neural networks to automatically extract features and obtain higher-level music feature representations from the audio content, while incorporating the historical behavioural information of user interactions with music, which can effectively alleviate the problems such as cold start in recommendation systems.

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Section: Status Of Researchmentioning

confidence: 99%

Variational Fuzzy Neural Network Algorithm for Music Intelligence Marketing Strategy Optimization

Sun

2022

Computational Intelligence and Neuroscience

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“…Mashwani et al studied the English teaching quality evaluation system based on the fuzzy comprehensive evaluation of bat algorithm, which was combined with fuzzy comprehensive evaluation technique to realize the input of evaluation data sources, selection of evaluation options, flexible setting of evaluation weights, and setting of evaluation options. Based on data mining technology and bat algorithm [9], Shareh et al designed and implemented an English teaching quality evaluation system and evaluated the quality of English teaching. English teaching evaluation needs a scientific and complete evaluation system.…”

Section: Related Workmentioning

confidence: 99%

A Study on the Quality Evaluation of English Teaching Based on the Fuzzy Comprehensive Evaluation of Bat Algorithm and Big Data Analysis

Ji¹,

Tsai

2021

Mathematical Problems in Engineering

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In this paper, the fuzzy comprehensive evaluation model based on the bat algorithm quantifies the qualitative evaluation effectively and provides a feasible and convenient English teaching quality evaluation system by combining quantitative evaluation with objective index data. Firstly, the English teaching quality evaluation model is constructed based on the fuzzy comprehensive evaluation analysis method and the weight values of each factor are calculated; secondly, the three types of data in the model are processed separately. This includes standardizing the data of objective indicators such as students’ course grades and weakening the influence of course difficulty on this indicator. The fuzzy comprehensive evaluation model based on the bat algorithm quantifies the qualitative evaluation to make the calculated comprehensive evaluation of English teaching quality more comprehensive and objective; then the comprehensive calculation of English teaching quality evaluation is completed, and the English teaching quality evaluation model is constructed by extracting keywords based on the qualitative evaluation; finally, a runnable English teaching quality evaluation system is designed and implemented. A fuzzy comprehensive evaluation algorithm based on improved bat algorithm optimization is proposed. The algorithm uses the improved fuzzy comprehensive evaluation algorithm to optimize the initial clustering centers and adopts a new objective function to guide the clustering process, thus improving the clustering quality of the fuzzy comprehensive evaluation algorithm. Comparative analysis through models shows that the improved algorithm improves the clustering accuracy to a certain extent when compared with the traditional fuzzy comprehensive evaluation clustering algorithm for analysis. The bat algorithm is one of the stochastic global optimization models. It can take advantage of the group, integrate global search and local search, and achieve rapid convergence. Therefore, it plays an important role in optimizing the evaluation of English teaching quality. This study enriches the theoretical study of English teaching quality evaluation to a certain extent and can play a role in strengthening and improving English teaching quality evaluation at the present stage.

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“…[8]. Mashwani W K et al proposed a hybrid algorithm group intelligence (HSI) algorithm using bat algorithm (BA) and practical Group optimization algorithm (PSO) voters to perform their search process to deal with the recently designed benchmark function in the special session [9]. Mortazavi A et al proposed A new optimization algorithm --interactive search algorithm, which has strong competitiveness with other perfect meta-heuristic algorithms [10].…”

Section: Related Workmentioning

confidence: 99%

Research on Task Scheduling Method of Mobile Delivery Cloud Computing Based on HPSO Algorithm

Liu

et al. 2021

Business Intelligence and Information Technology

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Study of cloud computing task scheduling problem, in view of many existing in the process of logistics transportation route choice question, to consider in a certain amount of time constraints, road clearance restriction, road comfort, and driving cost constraints under the condition of how to carry out the task allocation, to achieve the shortest path as the optimization goal, application of particle swarm optimization (PSO) algorithm to extend it a task scheduling method based on hybrid particle swarm optimization (PSO) cloud is proposed. Experimental results show that hybrid particle swarm optimization plays a good role in cloud computing task scheduling, which can shorten the distance to a certain extent, improve the efficiency, improve the applicability and scalability of the algorithm, not trapped in local optimization, and achieve the optimal global effect.

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Large-scale global optimization based on hybrid swarm intelligence algorithm

Cited by 18 publications

References 49 publications

Variational Fuzzy Neural Network Algorithm for Music Intelligence Marketing Strategy Optimization

Variational Fuzzy Neural Network Algorithm for Music Intelligence Marketing Strategy Optimization

A Study on the Quality Evaluation of English Teaching Based on the Fuzzy Comprehensive Evaluation of Bat Algorithm and Big Data Analysis

Research on Task Scheduling Method of Mobile Delivery Cloud Computing Based on HPSO Algorithm

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