Feature selection is a promising task to select relevant features and reduce genetic programming hyper-heuristics (GPHH) search space. However, more research is needed to quantify the contribution of ...

We formulate this problem as a nonlinear Generalized Disjunctive Program (GDP), which, following transformation, results in a large-scale mixed-integer nonlinear programming (MINLP ... and we can ...

Regression analysis was employed to assess the relationship between the 4Ps and revenue, while geometric programming optimized the marketing mix for profit maximization. Results indicate that Product ...

Guided Local Search for Mask Optimization (GLS-MO), which achieves high fidelity and tolerance. GLS-MO relaxes the 0-1 QCQP into a 0-1 convex Quadratic Programming problem by introducing Lagrange ...

and mixed integer nonlinear programming (MINLP). In addition, SCIP provides a highly flexible framework for constraint integer programming and branch-cut-and-price. It allows for total control of the ...

PaPILO, a C++14-based software package, provides parallel presolve routines for (mixed integer) linear programming problems ... a templated C++ interface that allows to specify the type used for ...