Genetic Algorithms Part 3 (Unedited)

This video offers a concise introduction to Genetic Algorithms, an optimization technique inspired by natural selection, which is particularly effective for solving complex, non-linear problems that traditional methods struggle with. It explains key concepts such as population, genes, chromosomes, fitness function, selection, crossover, and mutation, illustrating how Genetic Algorithms evolve solutions over generations to find optimal results. The video also highlights the strengths of Genetic Algorithms in handling complex, multi-objective problems, while addressing challenges like the need for fine-tuning parameters for efficient performance.