CORDIS Project
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This research aims to develop new optimization methods for solving binary quadratic problems, which are challenging due to their complexity. Applications include traffic network planning and satellite communication, focusing on finding global optimal solutions.
Several combinatorial and discrete optimization problems can be modelled using a quadratic objective function subject to binary constraints; such models are called binary quadratic problems (BQP).
These problems are hard to solve in general thus, relaxations are used to find bounds and near optimal solutions.
Quadratic programming problems with binary variables arise in many settings, including engineering, finance, transportation, and location problems.
The study of linear programming problems…
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