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1. Full Text Particle swarm optimisation
: classical and quantum perspectives
by Sun, Jun, 1971 and Lai, Choi-Hong and Wu, Xiao-Jun
2012, Chapman and Hall/CRC numerical analysis and scientific computing, ISBN 9781439835760
Mathematical optimization | Swarm intelligence | Particles (Nuclear physics)
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2. Full Text Nature-Inspired Optimization Algorithms
by Yang, Xin-She and Books24x7, Inc
2014, 1, Elsevier insights, ISBN 0124167438, 300
Distributed processing | Electronic data processing | Parallel processing (Electronic computers) | Computer algorithms | Artificial intelligence | Engineering | Algorithms | Mathematical optimization
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3. Optimal measurement methods for distributed parameter system identification
by Uciński, Dariusz, 1965
2005, Taylor and Francis series in systems and control, ISBN 0849323134, xvii, 371
Control theory | Distributed parameter systems | Mathematical optimization | System analysis | Applied Mathematics | Systems & Controls
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4. Full Text Multi-Agent Distributed Optimization via Inexact Consensus ADMM
by Chang, Tsung-Hui and Hong, Mingyi and Wang, Xiangfeng
IEEE transactions on signal processing, ISSN 1053-587X, 01/2015, Volume 63, Issue 2, pp. 482 - 497
Algorithm design and analysis | consensus | distributed optimization | Signal processing algorithms | Distributed databases | Optimization methods | Cost function | ADMM | Convergence | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Signal processing | Usage | Numerical analysis | Mathematical optimization | Iterative methods (Mathematics) | Innovations | Economic models | Algorithms | Optimization | Methods | Multiagent systems | Computation | Mathematical models | Computational efficiency
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5. Adaptation, learning, and optimization over networks
by Sayed, Ali H
Foundations and trends in machine learning, ISSN 1935-8237, 2014, Volume 7, Issue 4-5, pp. 311 - 801
Learning | Networks | Multiagent systems | Machine learning | Strategy | Graphs | Optimization | Adaptation
Journal Article
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6. Full Text Distributed Optimization for Smart Cyber-Physical Networks
by Notarstefano, Giuseppe and Notarnicola, Ivano and Camisa, Andrea
06/2019
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7. Full Text Asynchronous Distributed ADMM for Large-Scale Optimization-Part I: Algorithm and Convergence Analysis
by Tsung-Hui Chang and Mingyi Hong and Wei-Cheng Liao and Xiangfeng Wang
IEEE transactions on signal processing, ISSN 1053-587X, 06/2016, Volume 64, Issue 12, pp. 3118 - 3130
Training | Algorithm design and analysis | Distributed optimization | Network topology | consensus optimization | Signal processing algorithms | asynchronous | Delays | ADMM | Optimization | Convergence | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Information networks | Signal processing | Usage | Computer networks | Convex programming | Economic models | Algorithms | Networks | Computation | Transaction processing | Delay | Standards
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8. Full Text Parallel and Distributed Methods for Constrained Nonconvex Optimization—Part I: Theory
by Scutari, Gesualdo and Facchinei, Francisco and Lampariello, Lorenzo
IEEE transactions on signal processing, ISSN 1053-587X, 04/2017, Volume 65, Issue 8, pp. 1929 - 1944
Signal processing algorithms | successive convex approximation | Approximation algorithms | Linear programming | Ad hoc networks | nonconvex optimization | Distributed algorithms | Optimization | Standards | Convergence | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology
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9. Full Text Distributed Subgradient Methods for Multi-Agent Optimization
by Nedic, A and Ozdaglar, A
IEEE transactions on automatic control, ISSN 0018-9286, 01/2009, Volume 54, Issue 1, pp. 48 - 61
distributed optimization | Computational modeling | Optimization methods | subgradient method | Distributed computing | Convergence | cooperative control | Network topology | Convex optimization | Character generation | Distributed control | Cost function | multi-agent network | Large-scale systems | Resource management | Distributed optimization | Multi-agent network | Cooperative control | Subgradient method | Engineering, Electrical & Electronic | Engineering | Automation & Control Systems | Technology | Science & Technology | Applied sciences | Control theory. Systems | Adaptative systems | Exact sciences and technology | Computer science; control theory; systems | Convex domains | Mathematical optimization | Analysis | Multi-agent systems | Exchanging | Accuracy | Approximation | Mathematical analysis | Mathematical models | Estimates | Optimization
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10. Full Text Differentially Private Distributed Constrained Optimization
by Shuo Han and Topcu, Ufuk and Pappas, George J
IEEE transactions on automatic control, ISSN 0018-9286, 01/2017, Volume 62, Issue 1, pp. 50 - 64
Privacy | Data privacy | Sensitivity | Aggregates | distributed algorithms | Linear programming | optimization methods | Resource management | Optimization | Vehicles | Engineering, Electrical & Electronic | Engineering | Automation & Control Systems | Technology | Science & Technology | Usage | Research | Stochastic processes | Resource allocation | Constraints
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11. Full Text Network Newton Distributed Optimization Methods
by Mokhtari, Aryan and Qing Ling and Ribeiro, Alejandro
IEEE transactions on signal processing, ISSN 1053-587X, 01/2017, Volume 65, Issue 1, pp. 146 - 161
distributed optimization | Multi-agent network | Artificial neural networks | Taylor series | Linear programming | Newton's method | Nickel | Newton method | Optimization | Convergence | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Research | Neural networks | Convex programming
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12. Full Text Reliability constrained two-stage optimization of multiple renewable-based microgrids incorporating critical energy peak pricing demand response program using robust optimization approach
by Gazijahani, Farhad Samadi and Salehi, Javad
Energy (Oxford), ISSN 0360-5442, 10/2018, Volume 161, pp. 999 - 1015
MGs planning | Demand response | Robust optimization | Renewable energy | Thermodynamics | Physical Sciences | Technology | Energy & Fuels | Science & Technology | Decision-making | Case studies | Electrical engineering | Alternative energy sources | Demand | Uncertainty | Decision making | Peak load | Energy sources | Smart grid | Optimization | Energy resources | Robustness (mathematics) | Pricing | Distributed generation | Mathematical models | Electric power grids | Energy management
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13. Full Text A new meta-heuristic method: Ray Optimization
by Kaveh, A and Khayatazad, M
Computers & structures, ISSN 0045-7949, 12/2012, Volume 112-113, pp. 283 - 294
Snell’s law | Meta-heuristic | Ray Optimization (RO) | Optimization | Truss structures | Snell's law | Engineering | Computer Science, Interdisciplinary Applications | Technology | Engineering, Civil | Computer Science | Science & Technology | Operational research and scientific management | Theoretical computing | Exact sciences and technology | Applied sciences | Algorithmics. Computability. Computer arithmetics | Software | Computer systems and distributed systems. User interface | Artificial intelligence | Operational research. Management science | Mathematical programming | Computer science; control theory; systems | Algorithms | Law | Searching | Mathematical analysis | Heuristic methods | Tools | Mathematical models
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14. Full Text Stochastic Optimization for Unit Commitment-A Review
by Zheng, Qipeng P and Jianhui Wang and Liu, Andrew L and Argonne National Lab. (ANL), Argonne, IL (United States)
IEEE transactions on power systems, ISSN 0885-8950, 07/2015, Volume 30, Issue 4, pp. 1913 - 1924
Electricity market operations | Uncertainty | Computational modeling | Stochastic processes | stochastic programming | robust optimization | Probabilistic logic | risk constraints | Optimization | unit commitment | mixed integer programming | Robustness | pricing | Load modeling | Robust optimization | Pricing | Unit commitment | Risk constraints | Mixed integer programming | Stochastic programming | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | distribution network | microgrid (MG) | mixed integer program (MIP) | distributed generator (DG) | POWER TRANSMISSION AND DISTRIBUTION
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15. Full Text Exact Diffusion for Distributed Optimization and Learning-Part I: Algorithm Development
by Yuan, Kun and Ying, Bicheng and Zhao, Xiaochuan and Sayed, Ali H
IEEE transactions on signal processing, ISSN 1053-587X, 02/2019, Volume 67, Issue 3, pp. 708 - 723
Symmetric matrices | diffusion | left-stochastic matrix | exact convergence | locally balanced policy | Optimization | Standards | Convergence | consensus | doubly stochastic matrix | Distributed optimization | Aggregates | Signal processing algorithms | Convex functions | Doubly stochastic matrix | Locally balanced policy | Exact convergence | Left-stochastic matrix | Diffusion | Consensus | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Algorithms | Computer simulation | Machine learning | Strategy | Stability analysis
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16. Full Text Distributed Optimization: Advances in Theories, Methods, and Applications
by Li, Huaqing and Lu, Qingguo and Huang, Tingwen and Liao, Xiaofeng and Wang, Zheng
08/2020, ISBN 9811561087, 1
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17. Full Text Distributed Optimization Under Adversarial Nodes
by Sundaram, Shreyas and Gharesifard, Bahman
IEEE transactions on automatic control, ISSN 0018-9286, 03/2019, Volume 64, Issue 3, pp. 1063 - 1076
Protocols | multi-agent systems | fault tolerance | Heuristic algorithms | network security | graph theory | Stochastic processes | Linear programming | Topology | machine learning | Optimization | Safety | Distributed algorithms | optimization | Engineering, Electrical & Electronic | Engineering | Automation & Control Systems | Technology | Science & Technology | Lower bounds | Computational geometry | Algorithms | Optimization algorithms | Hulls (structures) | Convexity | Nodes
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