In this study, a duality theorem-based algorithm (DTA) for inexact quadratic programming
(IQP) is developed for municipal solid waste (MSW) management under uncertainty. It …

Inexact quadratic programming (IQP) is an extension of conventional quadratic
programming for handling both nonlinearities in cost objectives and uncertainties with …

In this study, an inexact fuzzy-stochastic quadratic programming (IFSQP) method is
developed for effectively allocating waste to available facilities. The IFSQP approach is an …

In this study, a fuzzy two-stage quadratic programming (FTSQP) method is developed for
planning waste-management systems under uncertainty. It incorporates approaches of fuzzy …

Interval quadratic programming (IQP) is one of the most popular programming techniques for
addressing the uncertainties associated with nonlinear environmental management …

In this study, an interval stochastic quadratic programming method (ISQP) is developed
through incorporating techniques of chance-constrained programming (CCP) and inexact …

In practical waste management systems, most relationships among different system
components are nonlinear in nature. Effects of economies-of-scale can often bring about …

An inexact chance-constrained quadratic solid waste management (ICQSWM) model is
developed for planning municipal solid waste (MSW) management systems. The ICQSWM …

Background No country has ever experienced as large or as fast an increase in municipal
solid waste (MSW) quantities that China is now facing. The MSW generation rate in the City …

The existences of nonlinearities and uncertainties are the main complexities that cause
difficulties in planning municipal solid waste-management systems. In this study, an inexact …