Hao Wang: From Amsterdam to Paris, real-life applications of Pareto optimum

https://is1-ssl.mzstatic.com/image/thumb/Podcasts112/v4/2a/21/b5/2a21b5b9-b0f8-8da2-65ed-1dfadfe2db19/mza_5539629330198231686.png/600x600bb.jpg

Computers Don't Byte

LIACS

18 episodes

6 months ago

Computer scientists who are at the forefront of their respected fields attempt to explain what on earth they're doing.Computers don't byte is a series by the Leiden Institute of Advanced Computer Science (LIACS). Leading computer scientists from a variety of fields share their expertise and insights. Dive into the minds of these researchers and learn about real-world applications, the future of AI and related technologies and cutting-edge research. From chatbots to cybersecurity, from quantum to children's stories, each episode offers its own perspective on the changing landscape of computer science. Whether you're a seasoned professional or an aspiring enthusiast, this podcast offers knowledge and inspiration.Content: LIACSHost: Michiel van PoelgeestProduced by: Studio Onzichtbaar

All content for Computers Don't Byte is the property of LIACS and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.

Technology

Science,

Mathematics

https://app.springcast.fm/storage/artwork/7022/19948/159952/mRTBWFWbSlhFG1xv04CcrpbGH0ZBQ4yJVQVrxYiJ.jpg

Hao Wang: From Amsterdam to Paris, real-life applications of Pareto optimum

Computers Don't Byte

17 minutes 53 seconds

8 months ago

Hao Wang: From Amsterdam to Paris, real-life applications of Pareto optimum

In this episode, LIACS Assistant Professor Hao Wang shares insights into multi-criteria optimization and the concept of the Pareto optimum. Discover how these powerful techniques, often used in decision-making and problem-solving, can help you plan the perfect trip.

Whether you’re balancing cost, travel time, and comfort or choosing between destinations, learn how mathematical models can guide you toward the best possible choices. Tune in for a new episode that bridges research and real-life experiences.