Innovative Algorithm Slashes Time to Solve Massive Optimization Problems
Research paper by Bjørnar Luteberget and
More information: https://community.fico.com/s/blog-post/a5QQi000002rzAfMAI/fico5205
“When solving a very large computational problem, optimization solvers can require significant computational time to find a first feasible solution,” said Dr.
Feasibility Jump was initially developed for the MIP 2022 Computational Computation, which challenged participants to develop LP-free MIP heuristics. After winning the competition, a question was left hanging in the air: How does Feasibility Jump compare with state-of-the-art commercial solvers, and can it be used to complement them? This is where the FICO® Xpress Solver entered the picture.
“One of Feasibility Jump's main features is its efficiency: with a modern laptop, it can perform up to a million variable assignments per second,” said
“We at FICO congratulate Bjørnar and Giorgio on winning the 2024 FICO Xpress Best Paper Award,” said Berthold. “Amidst numerous strong contenders, their remarkable research stood out prominently. The award jury was impressed by its originality and practical relevance. The awarded paper significantly contributed to the development of MIP technology and showed remarkable results in challenging instances.”
The winning paper was published in Mathematical Programming Computation 15.2 (2023): Luteberget, Bjørnar, and
In 2022, the FICO®
Recognized as one of the fastest and most powerful optimization solvers, FICO® Xpress Solver gives business users, data scientists and researchers greater power and flexibility when solving complex problems in supply chain optimization, energy, pricing and many other applications.
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