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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 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 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 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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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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Minotaur: a mixed-integer nonlinear optimization toolkit
Mathematical Programming Computation, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ashutosh Mahajan +4 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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Fuzzy programming for mixed-integer optimization problems
Artificial Life and Robotics, 2011Mixed-integer optimization problems belong to the group of NP-hard combinatorial problems. Therefore, they are difficult to search for global optimal solutions. Mixed-integer optimization problems are always described by precise mathematical programming models.
Yung-Chin Lin +4 more
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Mixed-Integer Linear Optimization
2017In this chapter, we study mixed-integer linear optimization problems, which are also known as mixed-integer linear programming problems (MILPPs). MILPPs are problems with an objective function and constraints that all linear in the decision variables.
Ramteen Sioshansi, Antonio J. Conejo
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