Realizing the potential of near-term quantum computers to solve industry-relevant constrained-optimization problems is a promising path to quantum advantage. In this work, we consider the extractive ...

Scalable addressing of high-dimensional constrained combinatorial optimization problems is a challenge that arises in several science and engineering disciplines. Recent work introduced novel ...

Upon completing this tutorial, the user will be familiar with performing an optimal shape design of a 3D geometry. The initial geometry chosen for the tutorial is a ONERA M6 wing at transonic speed in ...

Abstract: In this paper, we propose a Multi-objective Particle Swarm Optimization (MOPSO) approach based on a decomposition framework with constraint-handling mechanisms to solve Constrained ...