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Process systems engineering: academic and industrial perspectives
In this paper, we present both academic and industrial perspectives on the research and
applications of Process Systems Engineering (PSE). After a brief introduction on the history …
applications of Process Systems Engineering (PSE). After a brief introduction on the history …
An exact penalty function optimization method and its application in stress constrained topology optimization and scenario based reliability design problems
H Liao, X Yuan, R Gao - Applied Mathematical Modelling, 2024 - Elsevier
A smooth penalty function method which does not involve dual and slack implicit variables to
formulate constrained optimization conditions is proposed. New active and loss functions …
formulate constrained optimization conditions is proposed. New active and loss functions …
Robust master planning of a socially responsible supply chain under fuzzy-stochastic uncertainty (A case study of clothing industry)
This paper addresses an integrated physical supply channel, aggregate production, and
transportation planning problem through the lens of social sustainability under uncertainty …
transportation planning problem through the lens of social sustainability under uncertainty …
[HTML][HTML] Solving Euclidean Max-Sum problems exactly with cutting planes
This paper studies binary quadratic programs in which the objective is defined by the
maximisation of a Euclidean distance matrix, subject to a general polyhedral constraint set …
maximisation of a Euclidean distance matrix, subject to a general polyhedral constraint set …
[HTML][HTML] Simulation-based optimization of distillation processes using an extended cutting plane algorithm
The use of commercial flowsheeting programs enables straight-forward use of rigorous, but
user hidden, mathematical formulations of chemical processes. The optimization of such …
user hidden, mathematical formulations of chemical processes. The optimization of such …
Regularized benders decomposition for high performance capacity expansion models
We consider electricity capacity expansion models, which optimize investment and
retirement decisions by minimizing both investment and operation costs. In order to provide …
retirement decisions by minimizing both investment and operation costs. In order to provide …
Daily scheduling of generating units with natural-gas market constraints
We address the daily scheduling of generating units (unit commitment) in a system whose
production mix includes a large number of natural-gas-fired units. We assume that the …
production mix includes a large number of natural-gas-fired units. We assume that the …
Distributed primal outer approximation algorithm for sparse convex programming with separable structures
This paper presents the distributed primal outer approximation (DiPOA) algorithm for solving
sparse convex programming (SCP) problems with separable structures, efficiently, and in a …
sparse convex programming (SCP) problems with separable structures, efficiently, and in a …
Polyhedral approximation strategies for nonconvex mixed-integer nonlinear programming in SHOT
Different versions of polyhedral outer approximation are used by many algorithms for mixed-
integer nonlinear programming (MINLP). While it has been demonstrated that such methods …
integer nonlinear programming (MINLP). While it has been demonstrated that such methods …
Outer approximation for mixed-integer nonlinear robust optimization
Currently, few approaches are available for mixed-integer nonlinear robust optimization.
Those that do exist typically either require restrictive assumptions on the problem structure …
Those that do exist typically either require restrictive assumptions on the problem structure …