Hybridization of population-based ant colony optimization via data mining

Adak, Zeynep; Demiriz, Ayhan

doi:10.3233/ida-184431

Cited by 6 publications

(2 citation statements)

References 18 publications

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“…The total elements are stored locally and read directly into the memory, which is convenient for the next step. For text information mining, good document mapping representation is the premise of good text clustering [14].…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

Digital Mining Algorithm of English Translation Course Information Based on Digital Twin Technology

Yang

2021

Wireless Communications and Mobile Computing

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Cross-language communication puts forward higher requirements for information mining in English translation course. Aiming at the problem that the frequent patterns in the current digital mining algorithms produce a large number of patterns and rules, with a long execution time, this paper proposes a digital mining algorithm for English translation course information based on digital twin technology. According to the results of word segmentation and tagging, the feature words of English translation text are extracted, and the cross-language mapping of text is established by using digital twin technology. The estimated probability of text translation is maximized by corresponding relationship. The text information is transformed into text vector, the semantic similarity of text is calculated, and the degree of translation matching is judged. Based on this data dimension, the frequent sequence is constructed by transforming suffix sequence into prefix sequence, and the digital mining algorithm is designed. The results of example analysis show that the execution time of digital mining algorithm based on digital twin technology is significantly shorter than that based on Apriori and Map Reduce, and the mining accuracy rate reached more than 80%, which has good performance in processing massive data.

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Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

Digital Mining Algorithm of English Translation Course Information Based on Digital Twin Technology

Yang

2021

Wireless Communications and Mobile Computing

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“…Regarding data mining-based approaches, in Ref. [36], a hybrid version of ant colony optimization that incorporates a data mining module to guide the search process was proposed. Regarding the usage of clustering-based methods, Streichert et al [37] proposed the clustering-based nitching method.…”

Section: Related Workmentioning

confidence: 99%

Autonomous Parameter Balance in Population-Based Approaches: A Self-Adaptive Learning-Based Strategy

Vega,

Lemus-Romani,

Soto

et al. 2024

Biomimetics

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Population-based metaheuristics can be seen as a set of agents that smartly explore the space of solutions of a given optimization problem. These agents are commonly governed by movement operators that decide how the exploration is driven. Although metaheuristics have successfully been used for more than 20 years, performing rapid and high-quality parameter control is still a main concern. For instance, deciding the proper population size yielding a good balance between quality of results and computing time is constantly a hard task, even more so in the presence of an unexplored optimization problem. In this paper, we propose a self-adaptive strategy based on the on-line population balance, which aims for improvements in the performance and search process on population-based algorithms. The design behind the proposed approach relies on three different components. Firstly, an optimization-based component which defines all metaheuristic tasks related to carry out the resolution of the optimization problems. Secondly, a learning-based component focused on transforming dynamic data into knowledge in order to influence the search in the solution space. Thirdly, a probabilistic-based selector component is designed to dynamically adjust the population. We illustrate an extensive experimental process on large instance sets from three well-known discrete optimization problems: Manufacturing Cell Design Problem, Set covering Problem, and Multidimensional Knapsack Problem. The proposed approach is able to compete against classic, autonomous, as well as IRace-tuned metaheuristics, yielding interesting results and potential future work regarding dynamically adjusting the number of solutions interacting on different times within the search process.

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A multi-frequency communication routing protocol for mobile devices in the Internet of things

Tian-zhu

Srivastava

2023

Wireless Netw

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Hybridization of population-based ant colony optimization via data mining

Cited by 6 publications

References 18 publications

Digital Mining Algorithm of English Translation Course Information Based on Digital Twin Technology

Digital Mining Algorithm of English Translation Course Information Based on Digital Twin Technology

Autonomous Parameter Balance in Population-Based Approaches: A Self-Adaptive Learning-Based Strategy

A multi-frequency communication routing protocol for mobile devices in the Internet of things

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