stermark, R., Concurrent processing of mixed-integer nonlinear programming problems. Kybernetes. The International Journal of Systems and Cybernetics. v38 i6. 966-989.R. O¨ stermark, "Concurrent processing of mixed-integer non- linear programming problems," Kybernetes, vol. 38, no. 6, pp. ...
programming (SQP) stabilised by using trust regions. It can deal with both convex and nonconvex problems and problems with possibly expensive function evaluations. In addition, it is not assumed that the mixed integer problem has to be relaxable; the function evaluations are requested only at ...
Mixed-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 assuperstructures(Floudas, 1995). This representation leads to the simultaneous determination of the...
Lin, "Global optimization of signomial mixed-integer nonlinear programming problems with free variables," Journal of Global Optimization, vol. 42, no. 1, pp. 39-49, 2008.Jung-Fa Tsai & Ming-Hua Lin. Global Optimization of Signomial Mixed-Integer Nonlinear Programming Problems with Free ...
Matlab solvers for MINLP problem (Mixed-Integer Nonlinear Programming). Solves Nonconvex, convex and pseudoconvex prroblems.
The first of these two programs finds an acceptable penalty coefficient and the second uses that coefficient to generate feasible solutions to the given discretecontinuous nonliner programming problem. One test problem from the literature that has been optimally solved by this method involves nonlinear ...
permeator model and mixed-integer nonlinear programming (MINLP) is proposed. A permeator system superstructure is used to embed a very large number of possible network configurations and allows the permeator feed-side pressure to be fixed or a design variable. A MINLP design model is devel...
Mixed Integer Nonlinear ProgrammingSebastian SagerDiscrete Optimization GroupInstitute for Computer ScienceUniversity of HeidelbergWorkshop Mixed Integer ProgrammingFebruary 16 – 18, 2005Heidelberg 阅读了该文档的用户还阅读了这些文档 1 p. 安全生产责任考核制度 3 p. 安全检查管理制度 6 p. 安全教育管理...
The MISQP solver handles dense mixed-integer nonlinear programming problems by a modified sequential quadratic programming (SQP) method. Under the assumption that integer variables have a smooth influence on the model functions, i.e., that function values do not change drastically when in- or decre...
In this article, we aim to extend the firefly algorithm (FA) to solve bound constrained mixed-integer nonlinear programming (MINLP) problems. An exact penalty continuous formulation of the MINLP problem is used. The continuous penalty problem comes out by relaxing the integrality constraints and by...