Search Results - ((nonlinear programming) OR (integer programming))
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A mixed integer nonlinear programming approach for petroleum refinery topology optimisation
Published 2019“…This work presents a mixed integer nonlinear programming (MINLP)-based superstructure optimisation approach to synthesize an optimal petroleum refinery topology or configuration for large-scale grassroots refinery systems. …”
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Bi-objective mixed integer nonlinear programming model for low carbon location-inventory-routing problem with time windows and customer satisfaction
Published 2024“…This paper proposes a bi-objective mixed-integer nonlinear programming model with time window constraints that satisfies the normal distribution of stochastic customer demand. …”
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Dodge-Romig plans revisited
Published 2009“…Further, the requirement about a given customer’s risk has been considered as a fuzzy constraint in a fuzzy nonlinear integer programming problem which can be eventually solved in terms of two non-linear integer programming problems, assuming a trapezoidal membership function. …”
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Simultaneous mixed-integer disjunctive optimization for synthesis of petroleum refinery topology Processing Alternatives for Naphtha Produced from Atmospheric Distillation Unit
Published 2010“…E. (2002). Review of Nonlinear Mixed-Integer and Disjunctive Programming Techniques. …”
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An evolutionary programming approach to solve price-based unit commitment (PBUC) problem in electricity market / Barbara Minot Thomas
Published 2017“…PBUC problem is a mixed integer and continuous nonlinear optimization problem. …”
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Diagnosis of Poor Control Loop Performance: Development of a Model Based Compensation Algorithm for Control Valve Stiction Nonlinearity
Published 2016“…Zabiri et al proposed Mixed Integer Quadratic Programming (MIQP) based Model Predictive Controller (MPC) that uses optimization approach compensation for backlash nonlinearities in control loop. …”
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Formulation of mathematical modelling for the design of maximum water recovery (MWR)
Published 2009“…In the second stage, the model is formulated as a mixed integer nonlinear program (MINLP) that is used to optimise an existing design of water systems. …”
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Monograph -
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A Holistic Approach for Design of Cost-Optimal Water Networks
Published 2017“…In the second stage, the model was formulated as a mixed integer nonlinear program (MINLP) that was used to optimise an existing water systems design. …”
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Sensitivity of MIQP-based design of MPC towards the uncertainty in backlash non-linearity gradient values
Published 2005“…The newly developed Mixed-Integer Quadratic Programming (MIQP)-based design within the framework of Model Predictive Control (MPC) has been shown through extensive simulation on industrial case studies to be able to handle efficiently both actuator saturation and actuator backlash nonlinearities simultaneously. …”
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Conference or Workshop Item -
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MODEL PREDICTIVE CONTROL DESIGN FOR LINEAR MULTIVARIABLE SYSTEMS UNDER CONTROL VALVE STICTION
Published 2014“…The formulation was previously shown to be able to compensate for backlash by solving a mixed integer quadratic programming (MIQP) problem. Simulation studies were conducted using a model of a paper machine headbox model in Simulink. …”
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Final Year Project -
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A study on the significance of backlash width values to the performance of the MIQP-based design of MPC
Published 2005“…This method, so-called the Mixed-Integer Quadratic Programming (MIQP)-based design of MPC, has been shown through extensive simulation on industrial case studies to be able to handle efficiently actuator saturation and actuator backlash nonlinearities simultaneously. …”
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Conference or Workshop Item -
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MSG352 - Linear and Integer Programming (Pengaturcaraan Linear dan Integer)-Disember 2019
Published 2019“…First Semester Examination 2019/2020 Academic Session December 2019 / January 2020 MSG352 - Linear and Integer Programming (Pengaturcaraan Linear dan Integer)…”
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Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty
Published 2024“…The other two models are bi-objective mixed integer nonlinear programming models with soft time window constraints developed to minimize costs and maximize customer satisfaction under uncertain demand, which include stochastic and fuzzy demand, respectively. …”
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Superstructure Optimization of Petroleum Refinery Design: Processing Alternatives for Naphtha Produced from the Atmospheric Distillation Unit
Published 2009“…The scope of this work is focused on the formulation of a mixed-integer linear programming (MILP) and a generalized disjunctive programming (GDP) optimization models. …”
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Final Year Project -
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Integer linear programming on preference maximized of workforce scheduling
Published 2018“…Integer linear programming is a well-known mathematical approach which is able to obtain the optimal solution faster than manually schedule construction in a less-complex way. …”
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Optimal diet planning for eczema patient using integer programming
Published 2018“…This paper discusses the application of integer programming to build the mathematical model of diet planning for eczema patients. …”
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