Evolutionary algorithms have continuously shaped us from optimizing ride-sharing trip duration, to the most complex artificial intelligence, and life. Learn how genetic algorithms, a nature-inspired approach to optimization can effectively help generate music to forecast financial markets.
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.
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