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Relevant bibliographies by topics / Human community based genetic algorithm (HCBGA)

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Academic literature on the topic 'Human community based genetic algorithm (HCBGA)'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "Human community based genetic algorithm (HCBGA)"

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Nagham, A. Al-Madi, and A. El-Obaid Amnah. "Age Constraints Effectiveness on the Human Community Based Genetic Algorithm (HCBGA)." International Journal of Artificial Intelligence (IJ-AI) 7, no. 2 (2018): 78–82. https://doi.org/10.11591/ijai.v7.i2.pp78-82.

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In this paper, we use under-age constraints and apply it to the Traveling Salesman Problem (TSP). Values and results concerning the averages and best fits of both, the Simple Standard Genetic Algorithm (SGA), and an improved approach of Genetic Algorithms named Human Community Based Genetic Algorithm (HCBGA) are being compared. Results from the TSP test on Human Community Based Genetic Algorithm (HCBGA) are presented. Best fit solutions towards slowing the convergence of solutions in different populations of different generations show better results in the Human Community Based Genetic Algorit

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A. Al-Madi, Nagham, and Amnah A. El-Obaid. "Age Constraints Effectiveness on the Human Community Based Genetic Algorithm (HCBGA)." IAES International Journal of Artificial Intelligence (IJ-AI) 7, no. 2 (2018): 78. http://dx.doi.org/10.11591/ijai.v7.i2.pp78-82.

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<span lang="EN-US">In this paper, we use under-age constraints and apply it to the Traveling Salesman Problem (TSP). Values and results concerning the averages and best fits of both, the Simple Standard Genetic Algorithm (SGA), and an improved approach of Genetic Algorithms named Human Community Based Genetic Algorithm (HCBGA) are being compared. Results from the TSP test on Human Community Based Genetic Algorithm (HCBGA) are presented.<br /> Best fit solutions towards slowing the convergence of solutions in different populations of different generations show better results in the

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3

Zhao, Renjie, Tao Zhang, Shichao Zhou, and Liya Huang. "Emotional Brain Network Community Division Study Based on an Improved Immunogenetic Algorithm." Brain Sciences 12, no. 9 (2022): 1159. http://dx.doi.org/10.3390/brainsci12091159.

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Emotion analysis has emerged as one of the most prominent study areas in the field of Brain Computer Interface (BCI) due to the critical role that the human brain plays in the creation of human emotions. In this study, a Multi-objective Immunogenetic Community Division Algorithm Based on Memetic Framework (MFMICD) was suggested to study different emotions from the perspective of brain networks. To improve convergence and accuracy, MFMICD incorporates the unique immunity operator based on the traditional genetic algorithm and combines it with the taboo search algorithm. Based on this approach,

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Abbas, Zainab K., and Ayad A. Al-Ani. "An adaptive combination algorithm based on deep learning and genetic algorithm for anomalous events detection." Indonesian Journal of Electrical Engineering and Computer Science 31, no. 2 (2023): 902. http://dx.doi.org/10.11591/ijeecs.v31.i2.pp902-908.

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One of the most widely used human behavior detection methods is anomaly detection, which this article covers. Ensuring a person's safety is a crucial task in every community today due to the ever-increasing actions that can be dangerous, from planned crime to harm from an accident. Classic closed-circuit television is insufficient since a person must always be awake and available to monitor the cameras, which is costly. Also, someone's attention tends to decrease after a certain period of time. Due to these reasons, a surveillance system that is automated and able to detect unusual activities

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Zainab, K. Abbas, and A. Al-Ani Ayad. "An adaptive combination algorithm based on deep learning and genetic algorithm for anomalous events detection." An adaptive combination algorithm based on deep learning and genetic algorithm for anomalous events detection 31, no. 2 (2023): 902–8. https://doi.org/10.11591/ijeecs.v31.i2.pp902-908.

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One of the most widely used human behavior detection methods is anomaly detection, which this article covers. Ensuring a person's safety is a crucial task in every community today due to the ever-increasing actions that can be dangerous, from planned crime to harm from an accident. Classic closedcircuit television is insufficient since a person must always be awake and available to monitor the cameras, which is costly. Also, someone's attention tends to decrease after a certain period of time. Due to these reasons, a surveillance system that is automated and able to detect unusual acti

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Liu, Qiliang, Sancheng Zhu, Meihua Chen, and Wenkai Liu. "Detecting Dynamic Communities in Vehicle Movements Using Ant Colony Optimization." Applied Sciences 12, no. 15 (2022): 7608. http://dx.doi.org/10.3390/app12157608.

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Detecting dynamic community structure in vehicle movements is helpful for revealing urban structures and human mobility patterns. Despite the fruitful research outcomes of community detection, the discovery of irregular-shaped and statistically significant dynamic communities in vehicle movements is still challenging. To overcome this challenge, we developed an evolutionary ant colony optimization (EACO) method for detecting dynamic communities in vehicle movements. Firstly, a weighted, spatially embedded graph was constructed at each time snapshot. Then, an ant-colony-optimization-based spati

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Wu, Yutan, Wenjin Wang, and Yingtao Chen. "Analysis The Policies Balancing Conservation and Community Interests in Maasai Mara." Highlights in Science, Engineering and Technology 59 (July 15, 2023): 321–31. http://dx.doi.org/10.54097/hset.v59i.10145.

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This paper aims to examine what policies are appropriate to balance conservation and community interests in the Maasai Mara. Grey Relational Analysis (GRA) is used to examine the relationship between indicators divided into two categories: wildlife species interests and economic industrial interests. A qualitative analysis is performed to establish a one-to-one linear correlation between the indicators. Multiple objective nonlinear programming and genetic algorithm are then applied to determine an objective function that quantizes the interests. Maximize the number of wildlife species and loca

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Mondal, Agastya, Héctor M. Sánchez C., and John M. Marshall. "MGDrivE 3: A decoupled vector-human framework for epidemiological simulation of mosquito genetic control tools and their surveillance." PLOS Computational Biology 20, no. 5 (2024): e1012133. http://dx.doi.org/10.1371/journal.pcbi.1012133.

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Novel mosquito genetic control tools, such as CRISPR-based gene drives, hold great promise in reducing the global burden of vector-borne diseases. As these technologies advance through the research and development pipeline, there is a growing need for modeling frameworks incorporating increasing levels of entomological and epidemiological detail in order to address questions regarding logistics and biosafety. Epidemiological predictions are becoming increasingly relevant to the development of target product profiles and the design of field trials and interventions, while entomological surveill

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Keith, Monica H., Mark V. Flinn, Harly J. Durbin, et al. "Genetic ancestry, admixture, and population structure in rural Dominica." PLOS ONE 16, no. 11 (2021): e0258735. http://dx.doi.org/10.1371/journal.pone.0258735.

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The Caribbean is a genetically diverse region with heterogeneous admixture compositions influenced by local island ecologies, migrations, colonial conflicts, and demographic histories. The Commonwealth of Dominica is a mountainous island in the Lesser Antilles historically known to harbor communities with unique patterns of migration, mixture, and isolation. This community-based population genetic study adds biological evidence to inform post-colonial narrative histories in a Dominican horticultural village. High density single nucleotide polymorphism data paired with a previously compiled gen

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Bouarara, Hadj Ahmed, Reda Mohamed Hamou, and Amine Abdelmalek. "Enhanced Artificial Social Cockroaches (EASC) for Modern Information Retrieval." International Journal of Cognitive Informatics and Natural Intelligence 10, no. 2 (2016): 65–94. http://dx.doi.org/10.4018/ijcini.2016040104.

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This article deals on an improved version of the recently developed Artificial Social Cockroaches (ASC) algorithm based on several modifications. The EASC has as input a set of artificial cockroaches and N selected shelters. It is based on a random displacement step and a set of operators (selection cockroaches, shelter attraction, congener's attraction, shelter permutation). Each cockroach must be hidden in the shelter where it feels safer (evaluation function). In the recent years with the coming of the world wide web, the amount of unstructured documents available in the digital society inc

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Conference papers on the topic "Human community based genetic algorithm (HCBGA)"

1

Hnaif, Adnan A., Nagham AL-Madi, Mohammad Abduljawad, and Amal Ahmad. "An Intelligent Road Traffic Management System Based on a Human Community Genetic Algorithm." In 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT). IEEE, 2019. http://dx.doi.org/10.1109/jeeit.2019.8717388.

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