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Optimizing the Perfect Day at Disneyland: The Winning GAMSPy Student Competition Project
May 14, 2025
Gamspy
Python
We are happy to present the winning project of our 2024/2025 GAMSPy Student Competition. Yiheng Su, a PhD student from the University of Wisconsin-Madison, developed an optimization model to plan the most efficient and enjoyable day at Disneyland Magic Kingdom. Inspired by a personal trip, Su applied mixed-integer programming, data preprocessing, and visualization to create a smart route planner that balances time, ride popularity, and unpredictability. This project is the perfect example of a full-stack approach to modeling and decision-making under constraints, and showcases the practical power and accessibility of GAMSPy for solving real-life challenges.
GAMSPy: High-Performance Optimization in Python
Dec 13, 2024
Python
GAMSPy
With GAMSPy, you can build your Python optimization models in record time. Learn how offloading computational tasks to GAMS, and leveraging set-based declarative algebraic modeling leads to efficient and high-performance optimization.
Introducing GAMSPy
Nov 16, 2023
News
API
Python
Learn how GAMSPy revolutionizes mathematical optimization by seamlessly integrating the power of Python’s expressive language with the efficiency of GAMS, offering a streamlined and high-performance solution for complex modeling challenges.
Authors
Atharv Bhosekar
Aileen Boehme
Adam Christensen
Alexander Meeraus
André Schnabel
Bruce McCarl
Christophe Gouel
Clemens Westphal
Evangelos Panos
Fred Fiand
Freddy Proske
George Franco
Hans Lofgren
Justine Broihan
Julien Harou
Leonard Kunz
Logan Randolph
Lutz Westermann
Mohammed Basheer
Marius Bützler
Michael Bussieck
Mateo Gallia
Renke Kuhlmann
Robin Schuchmann
Steve Dirkse
Stefan Mann