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Techno-Economic Feasibility Analysis of Grid-Connected Microgrid Design by Using a Modified Multi-Strategy Fusion Artificial Bee Colony Algorithm

机译：通过改进的多策略融合人工蜂菌落算法，技术经济可行性分析网格连接的微电网设计

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Sweta Singh; Adam Slowik; Neeraj Kanwar; Nand K. Meena;
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年度 2021
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1. A multi-strategy fusion artificial bee colony algorithm with small population [J] . Song Xiaoyu, Zhao Ming, Xing Shuangyun Expert systems with applications . 2020,第Mara期

机译：小于人口的多策略融合人工蜂菌落算法
2. Modified multi-strategy artificial bee colony algorithm for optimising node coverage problem [J] . Xinyu Zhou, Yunan Liu, Jianyi Wan, International journal of wireless and mobile computing . 2020,第3期

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3. Design and analysis of the artificial bee colony algorithms for domain-oriented QoS-aware service composition [J] . Haifang Wang, Xiaofei Xu, Zhongjie Wang, International Journal of Services Technology and Management . 2016,第6期

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4. Design optimization of a six-phase induction motor by Flower pollination and modified Artificial Bee Colony Algorithms [C] . Pratyush Prasanna Das, S. N. Mahato IEEE Region 10 Conference . 2016

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5. Digital Filter Design Using Improved Artificial Bee Colony Algorithms [D] . Raju, Rija . 2019

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6. Optimal Parameter Selection for Support Vector Machine Based on Artificial Bee Colony Algorithm: A Case Study of Grid-Connected PV System Power Prediction [O] . Xiang-ming Gao, Shi-feng Yang, San-bo Pan 2017

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7. AN OPTIMIZATION APPROACH BASED ON IMPROVED ARTIFICIAL BEE COLONY ALGORITHM FOR LOCATION AND CAPACITY OF GRID-CONNECTED PHOTOVOLTAIC SYSTEMS [O] . Wang Hui, Piao Zai-lin, Meng Xiao-fang, 2019

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Techno-Economic Feasibility Analysis of Grid-Connected Microgrid Design by Using a Modified Multi-Strategy Fusion Artificial Bee Colony Algorithm

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