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  • Search: subject:"Binary particle swarm optimization"
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Year of publication
Subject
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Binary particle swarm optimization 4 Binary particle swarm optimization (BPSO) 3 Binary Particle Swarm Optimization 2 Capital budgeting 2 Microgrids 2 Project adjustment 2 Project management 2 Project selection 2 Quadratic programming (QP) 2 Supply-demand management 2 Theorie 2 Theory 2 Uncertainty 2 Wind farm 2 Binary Accelerated Particle Swarm Algorithm 1 Binary Genetic Algorithm 1 Blade damage value 1 Clinical Decision-making System 1 Combinatorial Optimization Problem 1 Erneuerbare Energie 1 Evolutionary Algorithm 1 Evolutionary strategy 1 Feature Subset Selection 1 GA-IBPSO algorithm 1 Generator loss 1 Genetic algorithm 1 Hierarchical structure 1 Mathematical programming 1 Mathematische Optimierung 1 Meta-heuristic algorithm 1 Multi-level organizational learning behavior 1 Multidimensional Knapsack Problem 1 Mutated Binary Particle Swarm Optimization 1 Mutation strategy 1 NP-hard problem 1 Placement design 1 Projektmanagement 1 Renewable energy 1 Scheduling problem 1 Scheduling-Verfahren 1
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Online availability
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Undetermined 6 Free 2 CC license 1
Type of publication
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Article 9
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Article 1 Conference paper 1 Konferenzbeitrag 1
Language
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Undetermined 5 English 4
Author
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Asano, Hiroshi 2 Goto, Ryota 2 Huang, Xiaoxia 2 Takano, Hirotaka 2 Xiang, Lan 2 Beheshti, Zahra 1 Bin, Wei 1 Islam, Sardar M. N. 1 Islam, Sardar M.N. 1 Jing, Zhao 1 Liu, Yong-qian 1 Ongsakul, Weerakorn 1 Pookpunt, Sittichoke 1 Puyalnithi, Thendral 1 Qinke, Peng 1 Shamsuddin, Siti 1 Thin Zar Soe 1 Tian, De 1 Vankadara, Madhuviswanatham 1 Xiao, Chen 1 Yan, Jie 1 Yuhaniz, Siti 1 Zhang, Jin-hua 1
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Published in...
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Economic Modelling 1 Economic modelling 1 Energy Reports 1 Energy reports 1 European Journal of Operational Research 1 International Journal of Healthcare Information Systems and Informatics (IJHISI) 1 Journal of Global Optimization 1 Renewable Energy 1 Renewable and Sustainable Energy Reviews 1
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Source
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RePEc 5 ECONIS (ZBW) 2 EconStor 1 Other ZBW resources 1
Showing 1 - 9 of 9
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Coordinated operation schedule of microgrids in consideration of penetration of variable renewable energy sources
Takano, Hirotaka; Goto, Ryota; Asano, Hiroshi - In: Energy Reports 6 (2020) 2, pp. 330-336
thus a combined solution method of binary particle swarm optimization and quadratic programming is applicable in the …
Persistent link: https://www.econbiz.de/10012652260
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Coordinated operation schedule of microgrids in consideration of penetration of variable renewable energy sources
Takano, Hirotaka; Goto, Ryota; Thin Zar Soe; Asano, Hiroshi - In: Energy reports 6 (2020) 2, pp. 330-336
thus a combined solution method of binary particle swarm optimization and quadratic programming is applicable in the …
Persistent link: https://www.econbiz.de/10012179553
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A Unified Feature Selection Model for High Dimensional Clinical Data Using Mutated Binary Particle Swarm Optimization and Genetic Algorithm
Puyalnithi, Thendral; Vankadara, Madhuviswanatham - In: International Journal of Healthcare Information Systems … 13 (2018) 4, pp. 1-14
rate. A hybrid algorithm which uses a modified binary particle swarm optimization called mutated binary particle swarm … optimization and binary genetic algorithm is proposed in this article which enhanced the exploration and exploitation capability …
Persistent link: https://www.econbiz.de/10012045229
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Optimal power dispatch in wind farm based on reduced blade damage and generator losses
Zhang, Jin-hua; Liu, Yong-qian; Tian, De; Yan, Jie - In: Renewable and Sustainable Energy Reviews 44 (2015) C, pp. 64-77
For large wind farms, the unit combinatorial optimization research can improve the level of wind farm operation and increase the economic efficiency of wind farms. The blades, which not only account for 20% of the total wind turbine cost, but also have much influence on the wind turbine life,...
Persistent link: https://www.econbiz.de/10011190327
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Optimal project adjustment and selection
Huang, Xiaoxia; Xiang, Lan; Islam, Sardar M.N. - In: Economic Modelling 36 (2014) C, pp. 391-397
variables, a cellular binary particle swarm optimization which hybridizes cellular automation and particle swarm optimization is …
Persistent link: https://www.econbiz.de/10010729851
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Optimal project adjustment and selection
Huang, Xiaoxia; Xiang, Lan; Islam, Sardar M. N. - In: Economic modelling 36 (2014), pp. 391-397
Persistent link: https://www.econbiz.de/10010415894
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Optimal placement of wind turbines within wind farm using binary particle swarm optimization with time-varying acceleration coefficients
Pookpunt, Sittichoke; Ongsakul, Weerakorn - In: Renewable Energy 55 (2013) C, pp. 266-276
This paper proposes a binary particle swarm optimization (BPSO) with time-varying acceleration coefficients (TVAC) for …
Persistent link: https://www.econbiz.de/10010805370
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Binary Accelerated Particle Swarm Algorithm (BAPSA) for discrete optimization problems
Beheshti, Zahra; Shamsuddin, Siti; Yuhaniz, Siti - In: Journal of Global Optimization 57 (2013) 2, pp. 549-573
The majority of Combinatorial Optimization Problems (COPs) are defined in the discrete space. Hence, proposing an efficient algorithm to solve the problems has become an attractive subject in recent years. In this paper, a meta-heuristic algorithm based on Binary Particle Swarm Algorithm (BPSO)...
Persistent link: https://www.econbiz.de/10010845839
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A binary particle swarm optimization algorithm inspired by multi-level organizational learning behavior
Bin, Wei; Qinke, Peng; Jing, Zhao; Xiao, Chen - In: European Journal of Operational Research 219 (2012) 2, pp. 224-233
Recently, nature-inspired algorithms have increasingly attracted the attention of researchers. Due to the fact that in BPSO the position vectors consisting of ‘0’ and ‘1’ can be seen as a decision behavior (support or oppose), in this paper, we propose a BPSO with hierarchical structure...
Persistent link: https://www.econbiz.de/10010577553
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