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Global solution of nonlinear mixed-integer bilevel programs
Journal of Global Optimization, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Tighter relaxations in mixed-integer nonlinear programming
2020Mixed-integer nonlinear programming (MINLP) is one of the most important classes of mathematical optimization problems that combines difficulties from mixed-integer linear programming and nonlinear programming, namely optimizing over a set that is described by integrality, linear, and nonlinear restrictions.
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Satellite Component Selection with Mixed Integer Nonlinear Programming
2020 IEEE Aerospace Conference, 2020Spacecraft conceptual design tends to be a laborious and manual procedure where engineers iterate on evaluating performance while having a consistent design, i.e., satisfying budgets at the system level: mass, power, link budget, etc. One interesting part of the problem is that although one could start from scratch to custom design all parts of the ...
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Mixed integer nonlinear programming using interior-point methods
Optimization Methods and Software, 2011In this paper, we outline an algorithm for solving mixed integer nonlinear programming (MINLP) problems. The approach uses a branch-and-bound framework for handling the integer variables and an infeasible interior-point method for solving the resulting nonlinear subproblems.
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Disjunctive cuts for mixed integer nonlinear programming problems
2011We survey recent progress in applying disjunctive programming theory for the effective solution of mixed integer nonlinear programming problems. Generation of effective cutting planes is discussed for both the convex and nonconvex cases.
P. Bonami, J. Linderoth, LODI, ANDREA
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Vehicle dispatching in modular transit networks: A mixed-integer nonlinear programming model
Transportation Research, Part E: Logistics and Transportation Review, 2021Mingyang Pei, Xiaopeng Li, Zhiwei Chen
exaly

