Results 1 to 10 of about 415 (209)
In this paper, a multistage reliability-constrained stochastic planning model is established for the diamond distribution network, a new type of distribution system grid structure, with the goal of optimizing the total cost of investment and operation ...
Zhi Wu +6 more
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Dynamic Programming for Approximate Expansion Algorithm [PDF]
Expansion algorithm is a popular optimization method for labeling problems. For many common energies, each expansion step can be optimally solved with a min-cut/max flow algorithm. While the observed performance of max-flow for the expansion algorithm is fast, its theoretical time complexity is worse than linear in the number of pixels.
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Large-scale distributed renewable energy in the distribution network can result in reliability issues such as exceeding voltage limits and overloading power lines.
Jingjing Gu +6 more
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Approximate Dynamic Programming with Applications.
This thesis studies approximate optimal control of nonlinear systems. Particular attention is given to global solutions and to the computation of approximately optimal feedback controllers. The solution to an optimal control problem is characterized by the optimal value function.
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We study a multi-product production and inventory planning problem with uncertain demand in the cold rolling stage of steel production processes. The problem is to determine the production amount of each product in each planning period so that the sum of
Jing Wu +3 more
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Learning controllers for nonlinear complex systems using data-driven model-free adaptive dynamic programming (ADP) algorithms is a challenging problem.
Timotei Lala
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Joint Optimization of Dynamic Pricing and Flexible Refund Fees for Railway Services
This study explores strategies for dynamic pricing and flexible refund fee setting in railway line services, aiming to optimize ticket sales revenue by integrating refund mechanisms into the revenue management framework.
Wuyang Yuan +3 more
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Knowledge-intensive projects in research and development (R&D), software, and high-technology sectors are delivered by knowledge workers who each command several skills.
Hongbo Li +4 more
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The hierarchical approximate optimal coordinated control of modular robot manipulators (MRMs) modeled by joint torque feedback is developed via adaptive dynamic programming (ADP).
Bing Ma +4 more
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Dynamic Policy Programming with Function Approximation.
Contains fulltext : 96836.pdf (Publisher’s version ) (Open Access)
Gheshlaghi Azar, M. +2 more
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