Mixed-integer second-order cone programBus passengerBus route clustering problem (BRCP) concerns the assignment of bus routes to different boarding locations of a bus station with the objective of minimizing pa
The objective function f is linear however there is a second order cone constraint which is required to minimise another objective function. The SOC constraint works with continuous variables using coneprog, however this doesnt seem to allow me to specify integer variables. Is there any way I ...
Problem (13) can be solved using linear programming. First notice that for a given leader’s solution x, the lower level is an LP on the unit simplex. In other words, there always exists an optimal solution for the follower that is one of the n vertices of the unit simplex. Second, ...
(maybe) consider supporting MIQCQP (quadratic constraints) or MISOCP (second-order cone constraints) Provide Hessian-calculations to not use Ipopt's Hessian-approximation Write an interface for cvxpy's newly introduced QP-pipeline Done Alternatives ...
This second version is denoted in the remainder of this document as NOMAD (w/o mod). 5.2 Test problems The comparison between Algorithm DFNDFL and some state-of-the-art solvers is reported for 24 bound constrained problems. The first 16 problems, which are related to minimax and nonsmooth ...
Optimal exact designs are problematic to find and study because there is no unified theory for determining them and studying their properties. Each has its
too weak. Semidefinite programming (SDP) [31] provides stronger relaxations. However, in large dimensions the cost for solving SDPs may be too large to be practicable. Attempts to reduce this cost are based on exploiting sparsity [16, 21] and second-order cone programming [25]. A concept...
The proposed model is formulated as a mixed-integer second-order cone programming problem and solved by the GAMS software package. The total operating cost is taken into account as the objective function and several operational constraints are used in the optimization problem. The simulation results ...
Efficient exact design using mixed integer second-order cone programmingRadoslav HarmanLenka Filova
The proposed model is formulated as a mixed-integer second-order cone programming problem and solved by the GAMS software package. The total operating cost is taken into account as the objective function and several operational constraints are used in the optimization problem. The simulation results ...