Robust treatment planning with conditional value at risk chance constraints in intensity‐modulated proton therapy
Sign Up to like & getrecommendations! Published in 2017 at "Medical Physics"
DOI: 10.1002/mp.12001
Abstract: Background and purpose: Intensity‐modulated proton therapy (IMPT) is highly sensitive to range uncertainties and uncertainties caused by setup variation. The conventional inverse treatment planning of IMPT based on the planning target volume (PTV) is not… read more here.
Keywords: chance; treatment planning; chance constrained; plan ... See more keywords
An algorithm for binary linear chance-constrained problems using IIS
Sign Up to like & getrecommendations! Published in 2019 at "Computational Optimization and Applications"
DOI: 10.1007/s10589-018-00055-9
Abstract: We propose an algorithm based on infeasible irreducible subsystems to solve binary linear chance-constrained problems with random technology matrix. By leveraging on the problem structure we are able to generate good quality upper bounds to… read more here.
Keywords: algorithm binary; constrained problems; linear chance; chance constrained ... See more keywords
Managing Data Quality of the Data Warehouse: A Chance-Constrained Programming Approach
Sign Up to like & getrecommendations! Published in 2021 at "Information Systems Frontiers"
DOI: 10.1007/s10796-019-09963-5
Abstract: To make informed decisions, managers establish data warehouses that integrate multiple data sources. However, the outcomes of the data warehouse-based decisions are not always satisfactory due to low data quality. Although many studies focused on… read more here.
Keywords: quality; constrained programming; data warehouse; chance constrained ... See more keywords
Data-Driven Robust Chance Constrained Problems: A Mixture Model Approach
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-018-1376-4
Abstract: This paper discusses the mixture distribution-based data-driven robust chance constrained problem. We construct a data-driven mixture distribution-based uncertainty set from the perspective of simultaneously estimating higher-order moments. Then, we derive a reformulation of the data-driven… read more here.
Keywords: constrained problems; chance constrained; data driven; driven robust ... See more keywords
Gradient and Hessian of Joint Probability Function with Applications on Chance-Constrained Programs
Sign Up to like & getrecommendations! Published in 2017 at "Journal of the Operations Research Society of China"
DOI: 10.1007/s40305-017-0154-6
Abstract: Joint probability function refers to the probability function that requires multiple conditions to satisfy simultaneously. It appears naturally in chance-constrained programs. In this paper, we derive closed-form expressions of the gradient and Hessian of joint… read more here.
Keywords: probability; chance constrained; joint probability; probability function ... See more keywords
Chance-Constrained MPC for Voronoi-based Multi-Agent System Deployment
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.417
Abstract: Abstract This paper proposes a new chance-constrained model predictive control (CCMPC) algorithm with state estimation applied to the two-dimensional deployment of a multi-vehicle system where each agent is subject to process noise and measurement noise.… read more here.
Keywords: system; chance constrained; multi agent; agent system ... See more keywords
Two-stage interval stochastic chance-constrained robust programming and its application in flood management
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Cleaner Production"
DOI: 10.1016/j.jclepro.2017.07.205
Abstract: Abstract Today, flood diversion is a useful strategy of flood management that is used to mitigate damage from flooding throughout the world. This study developed two-stage interval stochastic chance-constrained robust programming for flood diversion of… read more here.
Keywords: two stage; flood management; robust programming; chance constrained ... See more keywords
A novel data-driven sampling strategy for optimizing industrial grinding operation under uncertainty using chance constrained programming
Sign Up to like & getrecommendations! Published in 2021 at "Powder Technology"
DOI: 10.1016/j.powtec.2020.09.024
Abstract: Abstract Multi-objective optimization of an integrated grinding circuit considering various sources of uncertainties has been targeted in this work using Chance constrained programming (CCP). Success of CCP depends on accurate transcription of uncertain parameter space… read more here.
Keywords: novel data; using chance; constrained programming; chance constrained ... See more keywords
A Real-Time Rolling Horizon Chance Constrained Optimization Model for Energy Hub Scheduling
Sign Up to like & getrecommendations! Published in 2020 at "Sustainable Cities and Society"
DOI: 10.1016/j.scs.2020.102417
Abstract: Abstract Multi-energy systems are effective means to enhance energy efficiency and enable sustainable cities. This paper proposes an energy hub (EH) model that integrates the energy storage systems, photovoltaic arrays, combined cooling heating and power… read more here.
Keywords: real time; rolling horizon; model; energy ... See more keywords
A Wasserstein distributionally robust chance constrained programming approach for emergency medical system planning problem
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2022.2040641
Abstract: This paper proposes a distributionally robust chance constrained programming model for an emergency medical system location problem with uncertain demands. By minimising the total expected cost, the location of emergency medical stations, the allocation of… read more here.
Keywords: constrained programming; distributionally robust; chance constrained; robust chance ... See more keywords
Balancing stochastic type-II assembly lines: chance-constrained mixed integer and constraint programming models
Sign Up to like & getrecommendations! Published in 2020 at "Engineering Optimization"
DOI: 10.1080/0305215x.2020.1716746
Abstract: ABSTRACT In the literature, line balancing is mostly investigated in deterministic environments. But production systems inevitably contain stochastic situations. In this study, the stochastic type-II assembly line balancing problem (ALBP) is considered. Firstly, a chance-constrained… read more here.
Keywords: chance; chance constrained; stochastic type; type assembly ... See more keywords