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Open Access research that is addressing youth & criminal justice...

Advancing our understanding of crime and criminal justice, including youth justice, is a key area of research enquiry by researchers based at the Scottish Centre for Crime & Justice (SCCJR) and the Centre for Youth & Criminal Justice (CYCJ), within the School of Social Work & Social Policy.

SCCJR seeks to advance this understanding through theoretical, empirical and applied research, working with communities and policy makers, while simulatneously fostering a national criminological research capacity. Specialisms include the role of violence, drugs and alcohol in crime and the criminal justice system. Meanwhile, CYCJ remains dedicated to supporting improvements in youth justice, contributing to better lives for individuals, families and communities. Research here focuses on improving youth justice practice, policy and research.

Explore some of the Open Access research from SCCJR and CYCJ. Or explore all of Strathclyde's Open Access research...

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Number of items: 9.

2020

Sun, He and Ren, Jinchang and Zhao, Huimin and Sun, Genyun and Liao, Wenzhi and Fang, Zhenyu and Zabalza, Jaime (2020) Adaptive distance-based band hierarchy (ADBH) for effective hyperspectral band selection. IEEE Transactions on Cybernetics. ISSN 2168-2275

2018

Zhang, Aizhu and Sun, Genyun and Ren, Jinchang and Li, Xiaodong and Wang, Zhenjie and Jia, Xiuping (2018) A dynamic neighborhood learning-based gravitational search algorithm. IEEE Transactions on Cybernetics, 48 (1). pp. 436-447. ISSN 2168-2275

2017

Yang, Qiang and Chen, Wei Neng and Gu, Tianlong and Zhang, Huaxiang and Deng, Jeremiah D. and Li, Yun and Zhang, Jun (2017) Segment-based predominant learning swarm optimizer for large-scale optimization. IEEE Transactions on Cybernetics, 47 (9). pp. 2896-2910. 7637019. ISSN 2168-2275

2016

Gong, Yue-Jiao and Li, Jing-Jing and Zhou, Yicong and Li, Yun and Chung, Henry Shu-Hung and Shi, Yu-Hui and Zhang, Jun (2016) Genetic learning particle swarm optimization. IEEE Transactions on Cybernetics, 46 (10). pp. 2277-2290. 7271066. ISSN 2168-2275

Li, Yuan-Long and Zhan, Zhi-Hui and Gong, Yue-Jiao and Zhang, Jun and Li, Yun and Li, Qing (2016) Fast micro-differential evolution for topological active net optimization. IEEE Transactions on Cybernetics, 46 (6). pp. 1411-1423. ISSN 2168-2275

Yang, Qiang and Chen, Wei-Neng and Li, Yun and Chen, C. L. Philip and Xu, Xiang-Min and Zhang, Jun (2016) Multimodal estimation of distribution algorithms. IEEE Transactions on Cybernetics, 47 (3). pp. 636-650. 7407318. ISSN 2168-2275

2015

Chen, Ni and Chen, Wei-Neng and Gong, Yue-Jiao and Zhan, Zhi-Hui and Zhang, Jun and Li, Yun and Tan, Yu-Song (2015) An evolutionary algorithm with double-level archives for multiobjective optimization. IEEE Transactions on Cybernetics, 45 (9). pp. 1851-1863. ISSN 2168-2275

Li, Yuan-Long and Zhan, Zhi-Hui and Gong, Yue-Jiao and Chen, Wei-Neng and Zhang, Jun and Li, Yun (2015) Differential evolution with an evolution path : a DEEP evolutionary algorithm. IEEE Transactions on Cybernetics, 45 (9). pp. 1798-1810. ISSN 2168-2275

2014

Riccardi, Annalisa and Fernández-Navarro, Francisco and Carloni, Sante (2014) Cost-sensitive adaboost algorithm for ordinal regression based on extreme learning machine. IEEE Transactions on Cybernetics, 44 (10). pp. 1898-1909. ISSN 2168-2275

This list was generated on Tue Jun 2 16:57:31 2020 BST.