Results 221 to 230 of about 68,989 (275)

Heuristics for convex mixed integer nonlinear programs

Computational Optimization and Applications, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pierre Bonami, João P. M. Gonçalves
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A Bayesian optimization approach for data‐driven mixed‐integer nonlinear programming problems

AIChE Journal
The optimization of process systems within the field of Chemical Engineering often confronts uncertainties that can exert significant influences on the performance and dependability of the obtained solutions.
Javier Morlet-Espinosa, A. Flores‐Tlacuahuac   +1 more
semanticscholar   +1 more source

The application of 0-1 mixed integer nonlinear programming optimization model based on a surrogate model to identify the groundwater pollution source.

Journal of Contaminant Hydrology, 2019
The optimization model is presently used for the identification of pollution sources and it is based on non-linear programming optimization. The decision variables in this model are continuous, resulting in a weak recognition of integer variables ...
Jia-yuan Guo, Wenxi Lu, Qingchun Yang, Tian-sheng Miao   +3 more
semanticscholar   +1 more source

Cost optimization of project schedules under constrained resources and alternative production processes by mixed-integer nonlinear programming

Engineering Construction and Architectural Management, 2019
Purpose The purpose of this paper is cost optimization of project schedules under constrained resources and alternative production processes (APPs).
Rok Cajzek, U. Klanšek
semanticscholar   +1 more source

Heterogeneous parallel method for mixed integer nonlinear programming

Computers & Chemical Engineering, 2014
Abstract 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, Xi Chen 0075, Zhijiang Shao, Wei Wan, Lorenz T. Biegler   +4 more
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Solving mixed integer nonlinear programs by outer approximation

Mathematical Programming, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Roger Fletcher, Sven Leyffer
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An algorithm for the mixed-integer nonlinear bilevel programming problem

Annals of Operations Research, 1992
The mixed-integer nonlinear bilevel programming problem can be described as a leader-follower game, in which the leader controls a set of variables in order to minimize a given objective function. Each choice of the leader is followed by a choice of the follower who minimizes a convex quadratic function over a polyhedral feasible set.
Thomas A. Edmunds, Jonathan F. Bard
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Finding member connectivities and nodal positions of tensegrity structures based on force density method and mixed integer nonlinear programming

Engineering structures, 2018
An optimization approach based on force density method and mixed integer nonlinear programming is proposed for optimization of tensegrity structures on member connectivities and nodal positions.
Xian Xu, Yafeng Wang, Yaozhi Luo
semanticscholar   +1 more source

A Mixed-Integer Nonlinear Program for the Design of Gearboxes

2017
Gearboxes are mechanical transmission systems that provide speed and torque conversions from a rotating power source. Being a central element of the drive train, they are relevant for the efficiency and durability of motor vehicles. In this work, we present a new approach for gearbox design: Modeling the design problem as a mixed-integer nonlinear ...
Lena C. Altherr, Bastian Dörig, Thorsten Ederer, Peter F. Pelz, Marc E. Pfetsch, Jan Wolf   +5 more
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A mixed integer nonlinear programming model for biomass production

Operational Research, 2016
In this paper, a nonlinear model to maximize biomass production with specific nutritional quality is proposed. The model decides about kind of grasses and legumes to cultivate, quantities of each grasses and legumes chosen, the use of resources, and the proper time of harvest at which the biomass with specific nutritional quality is maximized.
Joyne Contreras, Hugo Lara, G. Nouel-Borges   +2 more
openaire   +1 more source