Friday
Room 2
15:00 - 16:00
(UTC±00)
Talk (60 min)
Solutions That Evolve: Building Self-Improving Systems with Genetic Algorithms
Genetic algorithms "learn" to make better decisions by making continuous improvements in strategy based the fitness of that solution for survival.
These algorithms, modeled after Darwinian evolution, can solve complex optimization problems across many domains - from resource allocation to network design to automated testing.
In this talk we'll define the DNA of our solutions, explore how to represent different types of problems in genetic terms, and examine the parameters that control how solutions evolve and improve. You'll leave with practical knowledge of how to apply these powerful techniques to your own challenging problems.
Barry Stahl
Barry (he/him/his) is a .NET Software Engineer who has been creating business solutions for enterprise customers for more than 30 years. Barry is also an Election Integrity Activist, baseball and hockey fan, husband of one genius and father of another, and a 40+ year resident of Phoenix Arizona USA. When Barry is not traveling around the world to speak at Conferences, Code Camps and User Groups or to participate in GiveCamps, he spends his days as a Solution Architect for enterprise customers and his nights thinking about the next Arizona GiveCamp, an annual event where software developers come together to build websites and apps for some great non-profit organizations.