Session

Genetic Algorithms, a nature-inspired approach to optimization, is a fast way to find a good optimized solution without checking each and every possibility. The talk takes the audience into a small history of genetics and how Darwinian principles of selection, heredity, and variations are used in modern computing to optimize the most complex artificial intelligence and life with real-life examples ranging from solving the knapsack problem to forecasting financial markets.