Maximum Closeness Centrality k-Clubs: A Study of Dock-Less Bike Sharing by Ali Rahim Taleqani, Chrysafis Vogiatzis, Jill Hough

“…Hence, we provide a greedy heuristic approach that is shown to run in reasonable computational time. …”
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Evidence of Exponential Speed-Up in the Solution of Hard Optimization Problems by Fabio L. Traversa, Pietro Cicotti, Forrest Sheldon, Massimiliano Di Ventra

“…Over the past decades, research has focused on developing heuristic approaches that attempt to find an approximation to the solution. …”
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The Epistemological Status of Charisma in Historical Macrosociology by D. V. Kataev, V. O. Kalinina

“…Thus, the evolutionary-theoretical perspective defines the heuristic potential of charisma in terms of reflecting the dynamics of cultural and value orientations in the process of emergence and consolidation of social order and institutional structures. …”
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MODUS OF SOCIAL INTEGRITY: PRACTICE OF CONSTRUCTING PRODUCTIVE CO-BEING by I. I. Brodetskaya

“…Originality of this work is to extend the of heuristic possibilities of social theory in the analysis of the social problems aspect with the purpose construction of integrated research methodology problems. …”
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IC-GraF: An Improved Clustering with Graph-Embedding-Based Features for Software Defect Prediction by Xuanye Wang, Lu Lu, Qingyan Tian, Haishan Lin

“…Second, the improved deep graph infomax (IDGI) model, an extension of the DGI model specifically for SDP, is designed to generate graph-level representations of PDGs. Finally, a heuristic-based k-means clustering algorithm is employed to classify the features generated by IDGI. …”
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A Clonal Selection Optimization System for Multiparty Secure Computing by Minyu Shi, Yongting Zhang, Huanhuan Wang, Junfeng Hu, Xiang Wu

“…This system adopts the heuristic clonal selective strategy in local model optimization and optimizes the effect of federated training. …”
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Multiobjective Salp Swarm Algorithm Approach for Transmission Congestion Management by Anjali Agrawal, Seema N. Pandey, Laxmi Srivastava, Pratima Walde, R. K. Saket, Baseem Khan

“…To examine the proposed approach, it has been implemented on IEEE 30-bus system and a bigger power system IEEE 118-bus system; as well as the proposed technique of MOSSA has been compared and found better than reported methods and two other meta heuristic algorithms (multiobjective modified sperm swarm optimization and multiobjective adoptive rat swarm optimization).…”
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PHILOSOPHY OF WAR AND PEACE: IN SEARCH OF NEW EUROPEAN SECURITY STRATEGY by O. O. Bazaluk, D. B. Svyrydenko

“…Methodology. The authors use heuristic philosophical methodology which can make mentioned strategy more holistic having clear vision of the essence of war and peace phenomena. …”
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Artificial Intelligence Methods Applied to Catalytic Cracking Processes by Fan Yang, Mao Xu, Wenqiang Lei, Jiancheng Lv

“…In the modeling stage, data-driven methods are often used to build the system model or rule base; In the optimization stage, heuristic search or reinforcement learning methods can be applied to find the optimal operating parameters based on the constructed model or rule base. …”
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FANT: Flexible Attention-Shifting Network Telemetry by Mingwei Cui, Yufan Peng, Fan Yang

“…To further save bandwidth, we model the attention-shifting process and apply heuristic algorithms to solve it. Our experiments show that FANT effectively supports the operation of ANT network applications. …”
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BUNDA: KISAH CINTA 2 KODI BY ASMA NADIA: A STRUCTURALISM STUDY by Suhailee Suhailee, Ali Imron, Nafron Hasyim, Atiqa Sabardila, Markhamah Markhamah

“…The data were analyzed using the semiotic reading method, namely heuristic and hermeneutic reading. The results of the study are (1) Sociohistorical setting: Asma Nadia was born into a literary family (her grandfather, Teuku Muhammad Usman El Muhammady and her two siblings, Helvy Tiana Rosa and her brother Aeron Tomino, and her husband, Isa Alamsyah, were writers). …”
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Two-stage deep reinforcement learning method for agile optical satellite scheduling problem by Zheng Liu, Wei Xiong, Zhuoya Jia, Chi Han

“…Besides, the conventional exact methods and heuristic methods can hardly obtain a high-quality solution in a short time due to the complicated constraints and considerable solution space of this problem. …”
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Novel Optimization Algorithms Usage to Model the Compressive Strength of Ultra-High-Performance Concrete in Machine Learning Technique: Support Vector Regression by Tianhua Zhou, Dorota Mozyrska

“…In addition, two meta-heuristic algorithms have been used for improving the accuracy of predicting CS containing the Marine Predator Algorithm (MPA) and Grasshopper Optimization Algorithm (GOA). …”
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Improved estimates for extinction probabilities and times to extinction for populations of tsetse (Glossina spp) by Damian, Kajunguri, Elisha B., Are, John W., Hargrove

“…The original derivation was partially heuristic and provided no proofs for inductive results. …”
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Incentivizing Demand-Side Response Through Discount Scheduling Using Hybrid Quantum Optimization by David Bucher, Jonas Nuslein, Corey O'Meara, Ivan Angelov, Benedikt Wimmer, Kumar Ghosh, Giorgio Cortiana, Claudia Linnhoff-Popien

“…Furthermore, we propose a large-scale decomposition algorithm/heuristic for the DSP, applied with either quantum or classical computers running the subroutines, which significantly reduces the problem size while maintaining solution quality. …”
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Prediction of the RFID Identification Rate Based on the Neighborhood Rough Set and Random Forest for Robot Application Scenarios by Hong-Gang Wang, Shan-Shan Wang, Ruo-Yu Pan, Sheng-Li Pang, Xiao-Song Liu, Zhi-Yong Luo, Sheng-Pei Zhou

“…Firstly, the initial influencing factors of the RFID system identification rate are reduced using neighborhood rough set theory combined with the principle of heuristic attribute reduction of neighborhood weighted dependency, thus obtaining a kernel factor subset. …”
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A Novel Intensive Distribution Logistics Network Design and Profit Allocation Problem considering Sharing Economy by Mi Gan, Shuai Yang, Dandan Li, Mingfei Wang, Si Chen, Ronghui Xie, Jiyang Liu

“…Analyzing customer shopping behavior by the big data technology to determine customer’s logistics preference on the basis of dividing the customer’s logistics preference into high speed, low cost, and low pollution and then constructing the corresponding objective function model according to different logistics preferences, we obtain the intensive distribution logistics network model and solve it with heuristic algorithm. Furthermore, this paper analyzes the mechanism of interest distribution of the participants in the distribution network and puts forward an improved interval Shapley value method considering both satisfaction and contribution, with case verifying the feasibility and effectiveness of the model. …”
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Identifying threshold concepts in postgraduate general practice training: a focus group, qualitative study by Katherine Hall, Anna Chae

“…Participants were asked to describe their most transformative learning experiences. Heuristical TCs were identified from the thematic analysis.Setting Aotearoa/New Zealand (A/NZ).Participants Fifty participants, mostly comprising current trainees and educators from urban centres, and of NZ/European ethnicity.Results Twenty TCs covering many aspects of postgraduate general practice experience were derived from themes identified in the data. …”
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PHILOSOPHY OF EDUCATION IN THE DIGITAL AGE: TRANSFORMATION OF KNOWLEDGE AND LEARNING by Марина ШУЛЬГА, Інна КУЗНЄЦОВА, Наталія ПОЛІЩУК

“…The practical significance of this work lies in defining new axiological imperatives for education that focus on enhancing adaptability and critical reflexivity in the learner. The study proposes heuristic methods designed to foster cognitive resilience against informational entropy and to cultivate “flexible thinking” capable of navigating the evolving digital environment. …”
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Separating and quantifying facility-level methane emissions with overlapping plumes for spaceborne methane monitoring by Y. Pang, Y. Pang, L. Tian, D. Hu, S. Gao, G. Liu, G. Liu

“…To address these challenges, we propose a separation approach based on a heuristic optimization and the multi-source Gaussian plume model to separate the overlapping plumes. …”
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