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Granularity in Nonlinear Mixed-Integer Optimization
Journal of Optimization Theory and Applications, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Christoph Neumann 0002 +2 more
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The integer approximation error in mixed-integer optimal control
Mathematical Programming, 2010The authors present theoretical results with applications in mixed-integer nonlinear optimal control. It is described a new proof of the fact that a trajectory exists with the strong property of integer feasibility that approximates the optimal relaxed solution arbitrarily close. In comparison with other previous methods, the authors show that a finite
Sager, Sebastian +2 more
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Mixed Integer Optimization for Layout Arrangement
2013 XXVI Conference on Graphics, Patterns and Images, 2013Arranging geometric entities in a two-dimensional layout is a common task for most information visualization applications, where existing algorithms typically rely on heuristics to position shapes such as boxes or discs in a visual space. Geometric entities are used as a visual resource to convey information contained in data such as textual documents ...
Erick Gomez Nieto +3 more
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Mixed-integer dynamic optimization
Computers & Chemical Engineering, 1997A rigorous decomposition approach is presented for mixed-integer dynamic optimization problems. The approach combines dynamic optimization with insight based targeting techniques to decompose the optimization into subproblems providing rigorous upper and lower bounds on the objective.
R.J. Allgor, P.I. Barton
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Mixed-integer optimal control for multimodal chromatography
Computers & Chemical Engineering, 2021Abstract Multimodal chromatography is a powerful tool in the downstream processing of biopharmaceuticals. To fully benefit from this technology, an efficient process strategy must be determined beforehand. To facilitate this task, we employ a recent mechanistic model for multimodal chromatography, which takes salt concentration and pH into account ...
Hans Georg Bock +3 more
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Mixed Integer Evolution Strategies for Parameter Optimization
Evolutionary Computation, 2013Evolution strategies (ESs) are powerful probabilistic search and optimization algorithms gleaned from biological evolution theory. They have been successfully applied to a wide range of real world applications. The modern ESs are mainly designed for solving continuous parameter optimization problems.
Li, R. +6 more
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GloMIQO: Global mixed-integer quadratic optimizer
Journal of Global Optimization, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ruth Misener, Christodoulos A. Floudas
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New algorithms for mixed-integer dynamic optimization
Computers and Chemical Engineering, 2003Abstract Mixed-integer dynamic optimization (MIDO) problems arise in chemical engineering whenever discrete and continuous decisions are to be made for a system described by a transient model. Areas of application include integrated design and control, synthesis of reactor networks, reduction of kinetic mechanisms and optimization of hybrid systems ...
Vassilis Sakizlis +2 more
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Trading System Mixed-Integer Optimization by PSO
2021This work concerns the optimization of a Trading Systems (TS) based on a small set of Technical Analysis (TA) indicators. Usually, in TA the values of the parameters (window lengths and thresholds) of these indicators are fixed by professional experience.
Marco Corazza +2 more
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An algorithm for multiparametric mixed integer semidefinite optimization
42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2004Recently a new and efficient algorithm for mixed integer semidefinite programming (MISDP) was introduced. The algorithm is applicable to robust control of a general class of hybrid systems but despite its benefits in this regard, it may prove too computationally expensive for online optimisation in a range of applications.
Camile Rowe, Jan M. Maciejowski
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