Mechanism isomorphism identification based on artificial fish swarm algorithm

Yi, Huijun; Wang, Jianpei; Hu, Yongle; Yang, Ping

doi:10.1177/0954406220977560

Cited by 6 publications

(5 citation statements)

References 25 publications

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“…Currently, the authors of the paper have solved the following scientific problems: • systematized the existing soft computing methods (Yi et al, 2021), which can be used to model the behavior of large groups, identified the possibilities and limitations for their application; • concluded that there is no such method for predicting the impact of advertising, which is characterized by high reliability with low labor intensity and low cost of research; • developed the Semantic Mapping technique; applied by a pilot group made up of small and medium-sized business entrepreneurs, it showed a high reliability of the forecast of advertising impact with an acceptable level of modeling complexity. The practical significance of the results of this work is creation of a new, convenient and effective in terms of forecasting reliability technique for marketing audience behavioral modeling.…”

Section: Resultsmentioning

confidence: 99%

Semantic mapping technique: development of advertising content

Tkhorikov¹,

Pirogova²,

Zakharov³

et al. 2021

EA-XXI

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The paper considers author’s technique named Semantic Mapping intended for the development of advertising content. The technique was developed using interdisciplinary approach - neuromarketing, swarm intelligence, sensory, behavioral and experiential marketing focusing on imaginative thinking and emotional reactions of consumers essential in advertising content. This allows to create viral content based on creative decisions interesting to the audience and applicable to omnichannel communication. Advertising content is created in three stages: determining the limitations of advertising effectiveness, formulating the key idea (content), creating and testing the advertising. The Semantic Mapping technique can be used in marketing activities of various companies, including small businesses, and is notable for its low labor intensity and low budget.

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Section: Resultsmentioning

confidence: 99%

Semantic mapping technique: development of advertising content

Tkhorikov¹,

Pirogova²,

Zakharov³

et al. 2021

EA-XXI

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show abstract

“…The individuals in the sparrow elite mutation model will be updated according to Equation (11) after adding the adaptive water wave factor.…”

Section: Sparrow Elite Mutationmentioning

confidence: 99%

“…where t 5 is the generation time of the adaptive water wave factor, t 6 is the generation time of the random number in sparrow elite mutation, and t 7 is the time required for the individual updating process according to Equation (11). The time complexity of the Cauchy disturbance performed on the optimal individual in the population is:…”

Section: Time Complexity Of the Algorithmmentioning

confidence: 99%

“…Inspired by the laws underlying the development of natural things, some examples of these algorithms are the teaching and learning optimization algorithm (TLBO) [1], the positive chord algorithm (SCA) [2,3], the particle swarm optimization (PSO) [4][5][6], and the genetic algorithm (GA) [7,8]. They can also be inspired by the collective or social intelligence of natural biology, as in the case of the Harris hawks algorithm (HHO) [9,10], the artificial fish swarm algorithm (FSA) [11], the sparrow search algorithm (CSA) [12][13][14], and the gray wolf optimization algorithm (GWO) [15].…”

Section: Introductionmentioning

confidence: 99%

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A Multi-Strategy Improved Arithmetic Optimization Algorithm

Liu

Pang

et al. 2022

Symmetry

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To improve the performance of the arithmetic optimization algorithm (AOA) and solve problems in the AOA, a novel improved AOA using a multi-strategy approach is proposed. Firstly, circle chaotic mapping is used to increase the diversity of the population. Secondly, a math optimizer accelerated (MOA) function optimized by means of a composite cycloid is proposed to improve the convergence speed of the algorithm. Meanwhile, the symmetry of the composite cycloid is used to balance the global search ability in the early and late iterations. Thirdly, an optimal mutation strategy combining the sparrow elite mutation approach and Cauchy disturbances is used to increase the ability of individuals to jump out of the local optimal. The Rastrigin function is selected as the reference test function to analyze the effectiveness of the improved strategy. Twenty benchmark test functions, algorithm time complexity, the Wilcoxon rank-sum test, and the CEC2019 test set are selected to test the overall performance of the improved algorithm, and the results are then compared with those of other algorithms. The test results show that the improved algorithm has obvious advantages in terms of both its global search ability and convergence speed. Finally, the improved algorithm is applied to an engineering example to further verify its practicability.

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“…Any point x it in the set of supporting strategies is distributed discretely [ 6 ], and the deviation of any point is d ( x ), and its calculation formula is as

where d ( x , y ) is the projection of deviation; ∂ 2 Ω/ ∂u ∂v is the support function between the government and cultural enterprises.…”

Section: Overview Of Relevant Theoriesmentioning

confidence: 99%

Research on the Development Support Strategy of Cultural Enterprises Based on Fish Swarm Algorithm under the Background of Public Health

Hua

Ding

2022

Journal of Environmental and Public Health

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Under the background of public health events, the government needs to adopt reasonable support strategies to help cultural enterprises tide over the crisis. However, the original analytic hierarchy process cannot be comprehensive and accurate analysis, resulting in that the government support strategy cannot play a role. Fish swarm algorithm is a comprehensive intelligent algorithm, which can comprehensively analyze the factors affecting the formulation of supporting strategies for cultural enterprises, and has the advantages of simple operation and strong analysis ability. Under this background, this paper puts forward a fish swarm model; this method is a comprehensive intelligent analysis method, which can help the government find the best support strategy from the perspectives of politics, economy, and society. In order to verify the effectiveness of the fish school model, this paper uses MATLAB software for verification; the results show that, in the support strategy classification, selection accuracy, and selection time, fish school model is superior to the analytic hierarchy process. Therefore, the fish swarm model can help the government to better choose supporting policies and help cultural enterprises tide over the crisis and improve the accuracy of formulating supporting strategies for cultural enterprises.

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Mechanism isomorphism identification based on artificial fish swarm algorithm

Cited by 6 publications

References 25 publications

Semantic mapping technique: development of advertising content

Semantic mapping technique: development of advertising content

A Multi-Strategy Improved Arithmetic Optimization Algorithm

Research on the Development Support Strategy of Cultural Enterprises Based on Fish Swarm Algorithm under the Background of Public Health

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