Pierre Bonami

Centre National de la Recherche Scientifique

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About

Pierre Bonami is a leading figure in mixed-integer nonlinear programming (MINLP), with a career dedicated to advancing both the theoretical foundations and practical algorithms for solving complex optimization problems. His major contributions include the development of the Bonmin solver, a widely-used open-source tool for MINLP that integrates branch-and-bound, outer approximation, and nonlinear programming techniques. This work has been instrumental in enabling efficient solutions for problems in chemical engineering, energy systems, and logistics. Bonami’s research also explores the intersection of optimization and robotics, as seen in his paper "Energy-Optimal Multi-Goal Motion Planning for Planar Robot Manipulators" (2014, 11 citations), which addresses energy-efficient trajectory design. Beyond this, his highly cited studies on convex relaxations and cutting-plane methods have shaped modern algorithmic design, with his papers collectively garnering thousands of citations. A key achievement includes his role in the development of the Computational Infrastructure for Operations Research (COIN-OR) project, fostering open-source optimization tools. Bonami’s work continues to inspire researchers tackling real-world challenges in operations research and engineering.