LG CNS Launches Global Optimization Challenge to Address Real-World Industrial Issues Using Math

LG CNS Launches the Optimization Grand Challenge 2026



LG CNS, recognized as a front-runner in AI Transformation in Korea, is organizing the third iteration of the Optimization Grand Challenge (OGC 2026), aiming to leverage mathematical optimization techniques to address significant industrial challenges. Scheduled from June 15 to September 4, 2026, the competition invites participants from around the globe—including universities, researchers, and industry professionals—to engage in innovative problem-solving.

The OGC is a unique competition in Asia, offering a substantial prize pool of approximately USD 130,000, with USD 45,000 allocated for the top team and generous awards for runners-up. This initiative reflects LG CNS's commitment to fostering talent and advancing optimization technologies in various sectors, particularly those related to AI, logistics, and manufacturing.

Focus on Shipbuilding Optimization



This year's specific challenge is to optimize block placement in shipbuilding yards. As constructing large vessels requires assembling multiple significant sections or blocks, which can each resemble the size of a building, effective positioning of these blocks in a limited workspace is vital and complex. The strategies developed by competitors will not only enhance operational efficiency but also play a crucial role in timely project completions.

The optimization process begins by analyzing the spatial constraints and various block conditions, including shapes and dimensions, which add layers of complexity to the challenge. Participants will be informed of real-time leaderboard updates as algorithms are evaluated upon submission, allowing for dynamic competition.

Past Success and Global Participation



In the previous iteration of OGC, the event attracted talent from 10 different countries, featuring participants from prestigious institutions such as the Imperial College London and Eindhoven University of Technology. South Korean institutions like Seoul National University and KAIST also contributed to the diverse range of competitors, alongside participants from major corporations including LG, Samsung Electronics, and Hyundai Motor Company. This year, LG CNS aims to further expand its participant base and increase the overall challenge's complexity and prize offerings.


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