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Discrete optimization

About: Discrete optimization is a research topic. Over the lifetime, 4598 publications have been published within this topic receiving 158297 citations. The topic is also known as: discrete optimisation.


Papers
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Journal ArticleDOI
TL;DR: A new real-time optimization scheme that explores the inherent smoothness of the plant mapping to enable a reliable optimization and combines the quadratic approximation approach used in derivative-free optimization techniques with the iterative gradient-modification optimization scheme.

88 citations

Book
01 Jan 1964
TL;DR: Reading optimization theory and the design of feedback control systems is a good habit; you can develop this habit to be such interesting way to gain many benefits and importances of reading.
Abstract: Will reading habit influence your life? Many say yes. Reading optimization theory and the design of feedback control systems is a good habit; you can develop this habit to be such interesting way. Yeah, reading habit will not only make you have any favourite activity. It will be one of guidance of your life. When reading has become a habit, you will not make it as disturbing activities or as boring activity. You can gain many benefits and importances of reading.

88 citations

Journal ArticleDOI
TL;DR: Two state-of-the-art NLP solvers, SNOPT and IPOPT, are compared for dynamic optimization on a number of challenging control scenarios, and some of the advantages of IPopT are illustrated.

87 citations

Book
12 Aug 2012
TL;DR: Part I: Introduction to Stochastic Recursive Algorithms part II: Gradient Estimation Schemes and Kiefer-Wolfowitz Algorithm.
Abstract: Part I: Introduction to Stochastic Recursive Algorithms.- Introduction.- Deterministic Algorithms for Local Search.- Stochastic Approximation Algorithms.- Part II: Gradient Estimation Schemes.- Kiefer-Wolfowitz Algorithm.- Gradient Schemes with Simultaneous Perturbation Stochastic Approximation.- Smoothed Functional Gradient Schemes.- Part III: Hessian Estimation Schemes.- Hessian Estimation with Simultaneous Perturbation Stochasti Approximation.- Smoothed Functional Hessian Schemes.- Part IV: Variations to the Basic Scheme.- Discrete Optimization.- Algorithms for Contrained Optimization.- Reinforcement Learning.- Part V: Applications.- Service Systems.- Road Traffic Control.- Communication Networks.

87 citations

Journal ArticleDOI
TL;DR: A novel synthetic discrete optimization design methodology of IBDC based on advanced components for battery energy storage system (BESS) is proposed and an experimental prototype is implemented.
Abstract: This paper reviews recent advances of key components in isolated bidirectional dc-dc converter (IBDC) and discusses potential of IBDC based on advanced components. The concept of safe operation area of IBDC is proposed and clearly defined, which is determined by the intersection of the effective operation areas of transmission power, current stress, and current root mean square. By analyzing efficiency and power density characteristic, this paper points out that the efficiency optimization of IBDC needs to give way to the power density optimization. On this basis, a novel synthetic discrete optimization design methodology of IBDC based on advanced components for battery energy storage system (BESS) is proposed. Finally, an experimental prototype is implemented, and some design suggestions for hardware optimization are provided. The experimental results verify the effectiveness of the designed BESS and show that the practical applications of next-generation high-frequency conversion system are expected with the appearance and application of advanced components.

87 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202313
202236
2021104
2020128
2019113
2018140