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Global mixed‐integer dynamic optimization
AIChE Journal, 2005AbstractRecent advances in process synthesis, design, operations, and control have created an increasing demand for efficient numerical algorithms for optimizing a dynamic system coupled with discrete decisions; these problems are termed mixed‐integer dynamic optimization (MIDO).
Benoît Chachuat +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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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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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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2011
In this chapter we extend the problem class of continuous optimal control problems discussed in chapter 1 to include control functions that may at each point in time attain only a finite number of values from a discrete set. We briefly survey different approaches for the solution of the discretized Mixed–Integer Optimal Control Problem (MIOCP), such as
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In this chapter we extend the problem class of continuous optimal control problems discussed in chapter 1 to include control functions that may at each point in time attain only a finite number of values from a discrete set. We briefly survey different approaches for the solution of the discretized Mixed–Integer Optimal Control Problem (MIOCP), such as
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Solving Mixed-Integer Optimization Problems
2013In this chapter we treat a method for predictive control of systems that can be formulated as a piecewise affine (PWA) or equivalent model - see chapter 3. The method is based on solving mixed-integer optimization problems.
Gorazd Karer, Igor Škrjanc
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Mixed-Integer Linear Optimization
1995This chapter provides an introduction to the basic notions in Mixed-Integer Linear Optimization. Sections 5.1 and 5.2 present the motivation, formulation, and outline of methods. Section 5.3 discusses the key ideas in a branch and bound framework for mixed-integer linear programming problems.
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Mixed integer vector optimization: Stability issues
Cybernetics and Systems Analysis, 1991Summary: Stability of the vector optimization problem with mixed (integer and continuous) variables is considered. Conditions for stability by vector criterion are derived for the mixed integer problem.
Kozeratskaya, L. N. +2 more
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Mixed-Integer Nonlinear Optimization
1995This chapter presents the fundamentals and algorithms for mixed-integer nonlinear optimization problems. Sections 6.1 and 6.2 outline the motivation, formulation, and algorithmic approaches. Section 6.3 discusses the Generalized Benders Decomposition and its variants.
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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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