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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