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Optimization of Chemical Processes
TLDR
The Nature and Organization of Optimization Problems are discussed in this article, where the authors develop models for optimisation problems and develop methods for optimization problems in the context of large scale plant design and operation.Abstract:
I Problem Formulation 1 The Nature and Organization of Optimization Problems 2 Developing Models for Optimization 3 Formulation of the Objective Function II Optimization Theory and Methods 4 Basic Concepts of Optimization 5 Optimization for Unconstrained Functions: One- Dimensional Search 6 Unconstrained Multivariable Optimization 7 Linear Programming and Applications 8 Nonlinear Programming with Constraints 9 Mixed-Integer Programming 10 Global Optimization for Problems Containing Continuous and Discrete Variables IIIApplications of Optimization 11 Heat Transfer and Energy Conservation 12 Separation Processes 13 Fluid Flow Systems 14 Chemical Reactor Design and Operation 15 Optimization in Large-Scale Plant Design and Operations 16 Integrated Planning, Scheduling, and Control in the Process Industries Appendixesread more
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BookDOI
Handbook of global optimization
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Equilibrium isotherm studies for the sorption of divalent metal ions onto peat: copper, nickel and lead single component systems
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Optimization Toolbox User's Guide
TL;DR: The software described in this document is furnished under a license agreement and the rights of the Government regarding its use, reproduction and disclosure are as set forth in Clause 52.227-19(c)(2) of the FAR.
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Application of Chitosan for the Removal of Metals From Wastewaters by Adsorption—Mechanisms and Models Review
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Journal ArticleDOI
Scatter Search and Local NLP Solvers: A Multistart Framework for Global Optimization
TL;DR: The algorithm described here, called OptQuest/NLP or OQNLP, is a heuristic designed to find global optima for pure and mixed integer nonlinear problems with many constraints and variables, where all problem functions are differentiable with respect to the continuous variables.