Multi-Parametric Programming: Theory, Algorithms, and Applications, Volume 1

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Multi-Parametric Programming: Volume 1: Theory, Algorithms, and Applications

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Multiperiod planning of enterprise-wide supply chains using an operation policy Industrial and Engineering Chemistry Research. Proactive scheduling under uncertainty: A parametric optimization approach Industrial and Engineering Chemistry Research. A novel approach to scheduling of zero-wait batch processes under processing time variations Computers and Chemical Engineering. Modeling and optimization of polygeneration energy systems Catalysis Today.

Design of solvents for optimal reaction rate constants Aiche Journal. Advanced optimization techniques in the supply chain management of manufacturing industries Pulpaper Conference: Innovative and Sustainable Use of Forest Resources. Model-based blood glucose control for Type 1 diabetes via parametric programming. Optimal delivery of chemotherapeutic agents in cancer Computer Aided Chemical Engineering. A computer-aided methodology with robust design criteria for selection of solvents for reactions Computer Aided Chemical Engineering. Linearly constrained global optimization and stochastic differential equations Journal of Global Optimization.

Design and performance of an explicit parametric controller for a solid oxide fuel cell Sofc system Aiche Annual Meeting, Conference Proceedings. Explicit solutions to optimal control problems for constrained continuous-time linear systems Iee Proceedings: Control Theory and Applications. Generalized modular framework for the representation and synthesis of complex distillation column sequences Industrial and Engineering Chemistry Research.

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References

Design Industrial and Engineering Chemistry Research. Optimal control of cancer by delivery of chemotherapeutic agents Aiche Annual Meeting, Conference Proceedings. A computer-aided methodology for solvent selection for reactions: Robust design formulation Aiche Annual Meeting, Conference Proceedings. Global optimization issues in multiparametric continuous and mixed-integer optimization problems Journal of Global Optimization.

Multi-Parametric Programming: Theory, Algorithms and Applications, Volume 1

The design of solvents for optimal reaction rates Computer Aided Chemical Engineering. Chapter B1 Simultaneous process and control design using mixed integer dynamic optimization and parametric programming Computer Aided Chemical Engineering. Recent advances in optimization-based simultaneous process and control design Computers and Chemical Engineering. A bilevel programming framework for enterprise-wide process networks under uncertainty Computers and Chemical Engineering.

Environmentally conscious planning and design of supply chain networks Computer Aided Chemical Engineering. Parametric controllers in simultaneous process and control design Computer Aided Chemical Engineering. Generalized modular framework for the representation of Petlyuk distillation columns Computer Aided Chemical Engineering. The equivalence of the anti-windup control design and the explicit model-based parametric controller European Control Conference, Ecc Parametric controllers in simultaneous process and control design optimization Industrial and Engineering Chemistry Research.

Property modelling and simulation for product and process design Fluid Phase Equilibria. A multiparametric programming approach for mixed-integer quadratic engineering problems Computers and Chemical Engineering. Flexibility analysis and design using a parametric programming framework Aiche Journal. A case study in simultaneous design and control using rigorous, mixed-integer dynamic optimization models Industrial and Engineering Chemistry Research.

A new multiparametric mixed-integer quadratic programming algorithm Computer Aided Chemical Engineering. A unified framework for the flexibility analysis and design of non-linear systems via parametric programming Computer Aided Chemical Engineering. Maintenance scheduling and process optimization under uncertainty Computers and Chemical Engineering.

Maintenance-based strategies for environmental risk minimization in the process industries Journal of Hazardous Materials. An improved decomposition algorithm for optimization under uncertainty Computers and Chemical Engineering. Inclusion of information costs in process design optimization under uncertainty Computers and Chemical Engineering.


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    Design and operations of sustainable and environmentally benign processes. Algorithms for the solution of multiparametric mixed-integer nonlinear optimization problems Industrial and Engineering Chemistry Research. An integrated framework for robust and flexible process systems Industrial and Engineering Chemistry Research. Optimal design of solvent blends for environmental impact minimization Aiche Journal. Energy Systems Engineering Vivek Dua.

    Dynamic Process Modeling Efstratios N. Back cover copy This volume presents an in depth account of recent novel theoretical and algorithmic developments for different types of multi-parametric programming problems, as well as describes a number of versatile engineering applications in areas, such as design and optimization under uncertainty, energy and environmental analysis, multi-criteria optimization and model based control which is the subject of volume 2 of this series.

    Multi-parametric programming provides optimization based tools to systematically analyse the effect of uncertainty and variability in mathematical programming problems, which involved a linear, nonlinear or mixed continuous and integer mathematical model, an objective function, a set of contraints, and in which a number of parameters in the model vary between lower and upper bounds.

    The aimis to obtain explicit analytical, exact or approximate, expressions of the objective function and the optimization variables as a function of these parameters, and the regions in the space of the parameters where these expressions are valid. The book is intended for academics, researchers, optimization and control practitioners, who are involved in model based activities in the presence of uncertainty, across engineering and applied science disciplines, as well as for educational purposes both in academia and industry.

    The Process Systems Engineering PSE Series offers an integrated and interdisciplinary approach towards the development of methodologies and tools for modeling, design, control and optimization of enterprise-wide, process, manufacturing, energy and other such complex systems.