Search Results - subject:"chance constrained programming"

Optimal strategies for carbon capture, utilization and storage based on an inexact mλ-measure fuzzy chance-constrained programming

Dai, C.; Cai, Y.P.; Li, Y.P.; Sun, W.; Wang, X.W.; Guo, H.C. - In: Energy 78 (2014) C, pp. 465-478

In this study, IMP (interval mathematical programming), mλ-measure, and fuzzy chance-constrained programming are … incorporated into a general optimization framework, leading to an IMFCP (interval-parameter mλ-measure based fuzzy chance-constrained … programming) method. The IMFCP method can be used to deal with not only interval uncertainties in the objective function …

Persistent link: https://www.econbiz.de/10011117624

Fuzzy free disposal hull models under possibility and credibility measures

Shiraz, Rashed Khanjani; Tavana, Madjid; Paryab, Khalil - In: International Journal of Data Analysis Techniques and … 6 (2014) 3, pp. 286-306

with the input and output data in FDH can be represented with fuzzy variables. In this paper, the concept of chance-constrained … programming is used to develop FDH models with various returns to scale assumptions, including variable returns to scale (VRS …

Persistent link: https://www.econbiz.de/10010816810

Chance constrained programming using non-Gaussian joint distribution function in design of standalone hybrid renewable energy systems

Kamjoo, Azadeh; Maheri, Alireza; Putrus, Ghanim A. - In: Energy 66 (2014) C, pp. 677-688

of HRES components is proposed, considering uncertainties in renewable resources. The method is based on CCP (chance-constrained … programming) to handle the uncertainties in power produced by renewable resources. The design variables are wind turbine rotor …

Persistent link: https://www.econbiz.de/10010808982

IB-ICCMSP: An Integrated Irrigation Water Optimal Allocation and Planning Model Based on Inventory Theory under Uncertainty

Li, M.; Guo, P.; Yang, G.; Fang, S. - In: Water Resources Management 28 (2014) 1, pp. 241-260

In this study, an inventory-theory-based inexact chance-constrained multi-stage stochastic programming (IB-ICCMSP) model under multi-uncertainties is developed. IB-ICCMSP integrates inventory theory into an inexact chance-constrained multi-stage stochastic optimization framework. This method can...

Persistent link: https://www.econbiz.de/10010794036

Cost-effective biodiversity restoration with uncertain growth in forest habitat quality

Gren, Ing-Marie; Baxter, Peter; Mikusinski, Grzegorz; … - In: Journal of Forest Economics 20 (2014) 1, pp. 77-92

habitats, and this is formulated in a chance-constrained programming framework. The theoretical results show; (i) inclusion of …

Persistent link: https://www.econbiz.de/10010743924

Level bundle methods for constrained convex optimization with various oracles

Ackooij, Wim; Oliveira, Welington - In: Computational Optimization and Applications 57 (2014) 3, pp. 555-597

We propose restricted memory level bundle methods for minimizing constrained convex nonsmooth optimization problems whose objective and constraint functions are known through oracles (black-boxes) that might provide inexact information. Our approach is general and covers many instances of...

Persistent link: https://www.econbiz.de/10010759117

Nonlinear fuzzy chance constrained programming problem

Panda, Geetanjali; Dash, Jayant Kumar - In: Opsearch : journal of the Operational Research Society … 51 (2014) 2, pp. 270-279

Persistent link: https://www.econbiz.de/10010393124

A quality risk management problem : case of annual crop harvest scheduling

Borodin, Valeria; Bourtembourg, Jean; Hnaien, Faicel; … - In: International journal of production research 52 (2014) 9, pp. 2682-2695

Persistent link: https://www.econbiz.de/10010351865

Optimizing road network daily maintenance operations with stochastic service and travel times

Chen, Lu; Hà Minh Hoàng; Langevin, André; Gendreau, … - In: Transportation research / E : an international journal 64 (2014), pp. 88-102

Persistent link: https://www.econbiz.de/10010362922

Using integer programming for balancing return and risk in problems with individual chance constraints

Shen, Siqian - In: Computers & operations research : and their … 49 (2014), pp. 59-70

Persistent link: https://www.econbiz.de/10010383156