Results 41 to 50 of about 153,181 (197)
, 2016 We consider stochastic influence maximization problems arising in social networks. In contrast to existing studies that involve greedy approximation algorithms with a 63% performance guarantee, our work focuses on solving the problem optimally.
Kucukyavuz, Simge, Wu, Hao-Hsiang
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A primal-dual decomposition based interior point approach to two-stage stochastic linear programming [PDF]
, 1999 Decision making under uncertainty is a challenge faced by many decision makers. Stochastic programming is a major tool developed to deal with optimization with uncertainties that has found applications in, e.g.
Berkelaar, A.B. (Arjan) +3 more
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Towards Stochastic Optimization-Based Electric Vehicle Penetration in a Novel Archipelago Microgrid
Sensors, 2016 Due to the advantage of avoiding upstream disturbance and voltage fluctuation from a power transmission system, Islanded Micro-Grids (IMG) have attracted much attention.
Qingyu Yang +4 more
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A comment on "computational complexity of stochastic programming problems" [PDF]
, 2015 Although stochastic programming problems were always believed to be computationally challenging, this perception has only recently received a theoretical justification by the seminal work of Dyer and Stougie (Math Program A 106(3):423–432, 2006). Amongst
Hanasusanto, GA, Kuhn, D, Wiesemann, W
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AlgorithmsDue to the challenges associated with the application of existing two-stage optimization methods in energy system capacity configuration, such as uncertainty scenario generation, multi-timescale coupling, and balancing economic and environmental benefits,
Haitao Li +4 more
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Multi-Objective Stochastic Programming in Microgrids Considering Environmental Emissions [PDF]
Journal of Operation and Automation in Power Engineering, 2020 This paper deals with day-ahead programming under uncertainties in microgrids (MGs). A two-stage stochastic programming with the fixed recourse approach was adopted.
K. Masoudi, H. Abdi
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A Consensus-ADMM Approach for Strategic Generation Investment in Electricity Markets [PDF]
, 2018 This paper addresses a multi-stage generation investment problem for a strategic (price-maker) power producer in electricity markets. This problem is exposed to different sources of uncertainty, including short-term operational (e.g., rivals' offering ...
Baringo, Luis +3 more
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Reconfiguration of Supply Chain: A Two Stage Stochastic Programming
International Journal of Industrial Engineering and Production Research, 2013 In this paper, we propose an extended relocation model for warehouses configuration in a supply chain network, in which uncertainty is associated to operational costs, production capacity and demands whereas, existing researches in this area are often ...
Mahdi Bashiri, Hamidreza Rezaei
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Joint slot allocation and dynamic pricing of container sea–rail multimodal transportation
Journal of Traffic and Transportation Engineering (English ed. Online), 2015 The container sea–rail multimodal transport system faces complex challenges with demand uncertainties for joint slot allocation and dynamic pricing. The challenge is formulated as a two-stage optimal model based on revenue management (RM) as actual slots
Di Liu, Hualong Yang
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Energy Reports, 2021 Hybrid energy system is one main mean to deal with the energy crisis and its capacity optimization is a key to obtain an economical and reliable supply of energy. In this paper, the capacity optimization of a novel hybrid system composed of wind turbine,
Rong Li, Yong Yang
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