As the airline industry is ever expanding, companies are increasing their fleet sizes to obtain
greater market shares. Moreover, as the airlines seek more growth, the complexity and size …

Many optimal decision problems in scientific, engineering, and public sector applications
involve both discrete decisions and nonlinear system dynamics that affect the quality of the …

We derive new mixed-integer quadratic, quadratically constrained, and second-order cone
programming models of distribution system reconfiguration, which are to date the first …

This paper surveys results on the NP-hard mixed-integer quadratically constrained
programming problem. The focus is strong convex relaxations and valid inequalities, which …

We solve a multi-period portfolio optimization problem using D-Wave Systems' quantum
annealer. We derive a formulation of the problem, discuss several possible integer encoding …

Many industrial problems can be naturally formulated using mixed integer non-linear
programming (MINLP) models and can be solved by spatial Branch&Bound (sBB) …

In this paper, we propose a fast optimisation algorithm for approximately minimising convex
quadratic functions over the intersection of affine and separable constraints (ie the Cartesian …

Solving Mixed-Integer Quadratic Programming problems with IBM-CPLEX: a progress report
Page 1 Proceedings of the Twenty-Sixth RAMP Symposium Hosei University, Tokyo, October …

We consider the least squares regression problem, penalized with a combination of the ℓ _ 0
ℓ 0 and squared ℓ _ 2 ℓ 2 penalty functions (aka ℓ _0 ℓ _2 ℓ 0 ℓ 2 regularization). Recent …

This paper examines the application of genetic algorithm, tabu search and simulated
annealing metaheuristic approaches to finding the cardinality constrained efficient frontier …