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SUMMARY:Learning and Stochastic Optimization for Industrial Mining Complexes - HEC Montreal
DESCRIPTION:Decision-making in complex and/or stochastic settings\, such as industrial mining complexes\, presents significant challenges across various sectors. This seminar will delve into a novel solution approach that integrates machine learning and optimization for mineral supply/value chains under supply and demand uncertainties. We will explore three interconnected paradigm shifts: 1) data-driven hyper-heuristics with a heuristic search tree and self-adaptive framework; 2) smart lifelong learning context-aware solvers\, with a hyper-heuristic for dynamic mining complex modeling\, neural diving policy for heuristic selection\, and neural branching policy with a soft branching strategy; and 3) a distributional perspective for warm-starting\, using historical solutions and graphical models for initial production schedules. The performance of the proposed approach will be demonstrated through computational results and case studies\, showcasing up to three orders of magnitude reductions in primal suboptimality and execution times\, and increased robustness in solutions yielding up to 40% higher net present values. Finally\, we will discuss insights\, potential limitations\, and future research directions in developing robust\, reasoning\, and responsible decision-support systems for industrial-scale uncertain environments. \nRegister here: https://www.gerad.ca/en/events/2201
URL:https://www.europeanbusinessreview.com/event/learning-and-stochastic-optimization-for-industrial-mining-complexes-hec-montreal/
LOCATION:Online Event
CATEGORIES:Executive Education Calendar
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DTSTART;TZID=UTC:20240424T171500
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UID:10000133-1713978900-1713980700@www.europeanbusinessreview.com
SUMMARY:Personalized MBA Info Webinar - Swiss Business School
DESCRIPTION:Attend our info webinars to find out the features of our Swiss federally accredited Personalized MBA program. The Personalized MBA info webinars are held in a virtual classroom where students can join from all over the world. Participation is free and without any obligations. Register your participation and you will receive further information via e-mail. \nWe look forward to hearing from you soon! \nRegister here: https://www.sbs.edu/event-registration/?event_id=10000459
URL:https://www.europeanbusinessreview.com/event/personalized-mba-info-webinar-swiss-business-school/
LOCATION:Online Event
CATEGORIES:Executive Education Calendar
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ORGANIZER;CN="Swiss Business School":MAILTO:enrollment@sbs.edu
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