Suchergebnisse - Chance-constrained integer programming

Distribution Locational Marginal Pricing for Optimal Electric Vehicle Charging Through Chance Constrained Mixed-Integer Programming von Liu, Zhaoxi, Wu, Qiuwei, Oren, Shmuel S., Huang, Shaojun, Li, Ruoyang, Cheng, Lin

“… This paper presents a distribution locational marginal pricing (DLMP) method through chance constrained mixed-integer programming (MIP …”
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Exact Mixed-Integer Programming Approach for Chance-Constrained Multi-Area Reserve Sizing von Cho, Jehum, Papavasiliou, Anthony

“… An exact algorithm is developed for the chance-constrained multi-area reserve sizing problem in the presence of transmission network constraints …”
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Fuzzy Chance-Constrained Integer Programming Models for Portfolio Investment Selection and Optimization Under Uncertainty von Chiadamrong, Navee, Srizongkhram, Shayarath, Manitayakul, Kittitath, Suthamanondh, Pisacha

“… It is solved with the fuzzy chance-constrained integer programming model by linear programming under predetermined conditions and limitations. This study also uses both the credibility index and credibilistic risk index for measuring the investment return and investment risk. A numerical example is illustrated to demonstrate the effectiveness and benefits of the proposed algorithm …”
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Credibility-based chance-constrained integer programming models for capital budgeting with fuzzy parameters von Huang, Xiaoxia

“… In this paper, we discuss a problem of capital budgeting in a fuzzy environment. Two types of models are proposed using credibility to measure confidence …”
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Stochastic transitions of a mixed-integer linear programming model for the construction supply chain: chance-constrained programming and two-stage programming von Koutsokosta, Aspasia, Katsavounis, Stefanos

“… This paper addresses the problem of optimal Construction Supply Chain (CSC) design and integration in deterministic and stochastic environments by providing a …”
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A data-driven mixed integer programming approach for joint chance-constrained optimal power flow under uncertainty von Qin, James Ciyu, Jiang, Rujun, Mo, Huadong, Dong, Daoyi

“… This paper introduces a novel mixed integer programming (MIP) reformulation for the joint chance-constrained optimal power flow problem under uncertain load and renewable energy generation …”
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Balancing stochastic type-II assembly lines: chance-constrained mixed integer and constraint programming models von Pınarbaşı, Mehmet, Alakaş, Hacı Mehmet

“… Firstly, a chance-constrained nonlinear mixed integer programming (MIP) formulation is developed from the well-known deterministic form …”
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Non-profit resource allocation and service scheduling with cross-subsidization and uncertain resource consumptions von Lu, Mengshi, Nakao, Hideaki, Shen, Siqian, Zhao, Lin

“… •We formulate a chance-constrained model and three safe approximations for allocating for-profit and non-profit service in different resources …”
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Stochastic chance constrained mixed-integer nonlinear programming models and the solution approaches for refinery short-term crude oil scheduling problem von Cao, Cuiwen, Gu, Xingsheng, Xin, Zhong

“… Stochastic chance constrained mixed-integer nonlinear programming (SCC-MINLP) models are developed in this paper to solve the refinery short-term crude oil …”
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A chance-constrained stochastic approach to intermodal container routing problems von Zhao, Yi, Liu, Ronghui, Zhang, Xi, Whiteing, Anthony

“… The problem is formulated as a binary integer chance-constrained programming model including stochastic travel times and stochastic transfer time, with the objective of minimising the expected total cost …”
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Chance-constrained optimization for contact-rich systems using mixed integer programming von Shirai, Yuki, Jha, Devesh K., Raghunathan, Arvind U., Romeres, Diego

“… This paper presents a chance-constrained formulation for robust trajectory optimization during manipulation …”
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A joint machine learning and optimization approach for incremental expansion of electric vehicle charging infrastructure von Golsefidi, Atefeh Hemmati, Hüttel, Frederik Boe, Peled, Inon, Samaranayake, Samitha, Pereira, Francisco Câmara

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Mixed integer linear programming formulation for chance constrained mathematical programs with equilibrium constraints von Sadat, Sayed A., Lingling Fan

“… This paper gives a mixed integer linear programming (MILP) formulation for a bi-level mathematical program with equilibrium constraints (MPEC …”
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An inexact fuzzy-chance-constrained two-stage mixed-integer linear programming approach for flood diversion planning under multiple uncertainties von Guo, P., Huang, G.H., Li, Y.P.

“… In this study, an inexact fuzzy-chance-constrained two-stage mixed-integer linear programming (IFCTIP …”
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A network revenue management model with capacity allocation and overbooking von Mou, Deyi, Li, Wenzhen, Li, Jiayi

“… Both no-show and late cancellation have uncertainties. Therefore, we make use of a stochastic chance constrained integer programming to formulate the capacity allocation and overbooking problem …”
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An efficient computational method for large scale surgery scheduling problems with chance constraints von Noorizadegan, Mahdi, Seifi, Abbas

“… We propose an efficient solution method based on a decomposition of set-partitioning formulation of an integrated surgery planning and scheduling problem with …”
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A many-to-many pick-up and delivery problem under stochastic battery depletion of electric vehicles von İbiş Bozyel, Merve, Soysal, Mehmet, Çimen, Mustafa

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Chance constrained integer programming models for capital budgeting in fuzzy environments von Iwamura, K, Liu, B

“… This paper attempts to model capital budgeting problems by chance constrained integer programming in a fuzzy environment …”
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Air traffic flow management under uncertainty using chance-constrained optimization von Chen, J., Chen, L., Sun, D.

“… First, a chance-constrained model is developed based on a previous deterministic Integer Programming optimization model of ATFM to include …”
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Community-scale renewable energy systems planning under uncertainty—An interval chance-constrained programming approach von Cai, Y.P., Huang, G.H., Yang, Z.F., Lin, Q.G., Tan, Q.

“… ), chance-constrained programming (CCP) and mixed integer linear programming (MILP) techniques. ICS-EM allows uncertainties presented as both probability distributions and interval values to be incorporated within a general optimization framework …”
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