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Tunable Bandpass Filtering in Coupled Nanodrums Enabled by 1:1 Internal Resonance. [PDF]
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Nonlinear and Mixed Integer Linear Programming
2012In this chapter we compare continuous nonlinear optimization with mixed integer optimization of water supply networks by means of a meso scaled network instance. We introduce a heuristic approach, which handles discrete decisions arising in water supply network optimization through penalization using nonlinear programming.
Kolb, Oliver +3 more
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Heuristics for convex mixed integer nonlinear programs
Computational Optimization and Applications, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bonami, Pierre, Gonçalves, João P. M.
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Mixed-integer nonlinear programming with binary variables
2022Operational problems involving discrete structures naturally arise in a vast number of applications which provide the impetus for the development of mixed-integer programming (MIP). In this dissertation, we are mainly concerned with the theory of mixed-integer nonlinear programming (MINLP) with indicator variables as well as their applications in other
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Mixed-Integer Nonlinear Programming Problems (MINLPs)
1999Mixed-integer problems are those that involve both continuous and integer variables. The introduction of integer variables allows the modeling of complex decisions through graph theoretic representations denoted as superstructures (Floudas, 1995). This representation leads to the simultaneous determination of the optimal structure of a network and its ...
Christodoulos A. Floudas +8 more
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Computational Experience in Nonlinear Mixed Integer Programming
1997An interior-point algorithm within a branch-and-bound framework for solving nonlinear mixed integer programs is described. In contrast to solving the relaxation to optimality at each tree node, the relaxation is only solved to near-optimality. Analogous to using advanced bases for warmstart solutions in the case of linear MIP, a “dynamic” collection of
Eva K. Lee, John Mitchell
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Heterogeneous parallel method for mixed integer nonlinear programming
Computers & Chemical Engineering, 2014Abstract In a heterogeneous parallel structure, two types of algorithms, Quesada Grossmann's (QG) algorithm and Tabu search (TS), are used to solve mixed integer nonlinear programming (MINLP) simultaneously. Communication is well designed between two threads running the two algorithms individually by exchanging three kinds of information during ...
Kai Zhou +4 more
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Mixed Integer Nonlinear Programming
2012Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a pronounced effect on the set of feasible and optimal solutions.
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Reaction mechanism simplification using mixed-integer nonlinear programming
Computers & Chemical Engineering, 2000Abstract For large, complex reacting systems, computational efficiency becomes a critical issue in process simulation, optimization, and model-based control. Mechanism simplification is often a necessity to improve computational speed. We present a novel approach to reaction mechanism simplification that formulates the model reduction problem as a ...
Keith Edwards +2 more
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