RETRACTED ARTICLE: Hybrid harmony search algorithm for social network contact tracing of COVID-19

Al-Shaikh, Ala'a; Mahafzah, Basel A.; Alshraideh, Mohammad

doi:10.1007/s00500-021-05948-2

Cited by 28 publications

(17 citation statements)

References 75 publications

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“…Therefore, many research works are still trying to propose new metaheuristic algorithms, including the present study. Several latest algorithms are as follows, hybrid harmony search algorithm with hill climbing (Al-Shaikh et al 2021 ), chemical reaction optimization (Mahafzah et al 2021 ), most valuable player algorithm (Khattab et al 2019 ), and sea lion optimization (Masadeh et al 2021 ), and so on. All these algorithms and the algorithms in the literature have been used to solve many optimization problems, such as social network contact racing of COVID-19, scheduling problem, and minimum vertex cover problem.…”

Section: Discussionmentioning

confidence: 99%

Enhanced beetle antennae search algorithm for complex and unbiased optimization

Qian

Pan

et al. 2022

Soft Comput

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Beetle Antennae Search algorithm is a kind of intelligent optimization algorithms, which has the advantages of few parameters and simplicity. However, due to its inherent limitations, BAS has poor performance in complex optimization problems. The existing improvements of BAS are mainly based on the utilization of multiple beetles or combining BAS with other algorithms. The present study improves BAS from its origin and keeps the simplicity of the algorithm. First, an adaptive step size reduction method is used to increase the usability of the algorithm, which is based on an accurate factor and curvilinearly reduces the step size; second, the calculated information of fitness functions during each iteration are fully utilized with a contemporary optimal update strategy to promote the optimization processes; third, the theoretical analysis of the multi-directional sensing method is conducted and utilized to further improve the efficiency of the algorithm. Finally, the proposed Enhanced Beetle Antennae Search algorithm is compared with many other algorithms based on unbiased test functions. The test functions are unbiased when their solution space does not contain simple patterns, which may be used to facilitate the searching processes. As a result, EBAS outperformed BAS with at least 1 orders of magnitude difference. The performance of EBAS was even better than several state-of-the-art swarm-based algorithms, such as Slime Mold Algorithm and Grey Wolf Optimization, with similar running times. In addition, a WSN coverage optimization problem is tested to demonstrate the applicability of EBAS on real-world optimizations.

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Section: Discussionmentioning

confidence: 99%

Enhanced beetle antennae search algorithm for complex and unbiased optimization

Qian

Pan

et al. 2022

Soft Comput

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“…In the future, we will exploit, such as the recurrent topology. In addition, other meta-heuristics algorithms, such as the hybrid harmony search algorithm [ 39 ], can be used to find the best mapping scheme.…”

Section: Conclusion and Future Workmentioning

confidence: 99%

Optimal Mapping of Spiking Neural Network to Neuromorphic Hardware for Edge-AI

Xiao

Chen

Wang

2022

Sensors

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Neuromorphic hardware, the new generation of non-von Neumann computing system, implements spiking neurons and synapses to spiking neural network (SNN)-based applications. The energy-efficient property makes the neuromorphic hardware suitable for power-constrained environments where sensors and edge nodes of the internet of things (IoT) work. The mapping of SNNs onto neuromorphic hardware is challenging because a non-optimized mapping may result in a high network-on-chip (NoC) latency and energy consumption. In this paper, we propose NeuMap, a simple and fast toolchain, to map SNNs onto the multicore neuromorphic hardware. NeuMap first obtains the communication patterns of an SNN by calculation that simplifies the mapping process. Then, NeuMap exploits localized connections, divides the adjacent layers into a sub-network, and partitions each sub-network into multiple clusters while meeting the hardware resource constraints. Finally, we employ a meta-heuristics algorithm to search for the best cluster-to-core mapping scheme in the reduced searching space. We conduct experiments using six realistic SNN-based applications to evaluate NeuMap and two prior works (SpiNeMap and SNEAP). The experimental results show that, compared to SpiNeMap and SNEAP, NeuMap reduces the average energy consumption by 84% and 17% and has 55% and 12% lower spike latency, respectively.

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“…PMI (Pointwise Mutual Information) and LDA (Latent Dirichlet Allocation) are frequently used to construct emotional vocabulary, among which PMI is used to determine the emotional disposition of words, and LDA is used to extract emotional words from the corpus. [6,20]. We developed the PMI algorithm for vocabulary expansion, and propose a semantic polarity algorithm to analyze the emotional tendency of texts to improve the classification accuracy of text data [15].…”

Section: Sentiment Analysis For Online Studentsmentioning

confidence: 99%

Analyzing the Sentiments of Jordanian Students Towards Online Education in the Higher Education Institutions

Alshraideh¹,

Al-Sharaeh²,

Leiner³

et al. 2021

IJACSA

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Sentiment analysis and opinion polling are two areas that have grown significantly over the past decade. Opinion research and sentiments analysis in the online education environment can truly reflect the learning state of students and educators and experts in the field; providing the theoretical basis needed to further review educational procedure and conduct. This study aims to shed light on identifying and visualizing students' objective feelings based on an exploration of the subject matter and materials of learning and gathering sentiments from university Facebook groups at various levels and layers in detail. The proposed method is a qualitative descriptive research method that includes data pre-processing, subject discovery, sentiment analysis, and visualization. In relative terms, 39.7% of text messages were positive and 52.3% of text messages were negative and understanding the narrative of these feelings and their impact on the online learning environment.

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RETRACTED ARTICLE: Hybrid harmony search algorithm for social network contact tracing of COVID-19

Cited by 28 publications

References 75 publications

Enhanced beetle antennae search algorithm for complex and unbiased optimization

Enhanced beetle antennae search algorithm for complex and unbiased optimization

Optimal Mapping of Spiking Neural Network to Neuromorphic Hardware for Edge-AI

Analyzing the Sentiments of Jordanian Students Towards Online Education in the Higher Education Institutions

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