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. ...
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...
Mixed integer programming problems are defined as those where some or all of the decision variables are only allowed to be integers. This is typically required in a range of real world applications in allocation and planning problems where the discrete variables represent quantities, such as the nu...
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 ...
如果票数必须是整数，则需要mixed-integer nonlinear programming。如果不要求整数，则非线性优化大概可以...
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 variables[J...
Matlab solvers for MINLP problem (Mixed-Integer Nonlinear Programming). Solves Nonconvex, convex and pseudoconvex prroblems.
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...
Matlab solvers for MINLP problem (Mixed-Integer Nonlinear Programming). Sparse and Dense integer nonlinear optimization tools and subsolvers.
The Sequential Mixed Integer Nonlinear Programming (SMINLP) optimizer is equivalent to the SNLP optimizer with only one difference. Many problems require variables take only discrete values. One example might be to optimize on the number of turns in a coil. To be able to optimize on number of...