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– Useful for finding optimal solution for specific problem by examining very large number of possible solutions for that problem

– Conceptually based on process of evolution
• Search among solution variables by changing and
reorganizing component parts using processes such as inheritance, mutation, and selection

– Used in optimization problems (minimization of costs, efficient scheduling, optimal jet engine design) in which hundreds or thousands of variables exist

– Able to evaluate many solution alternatives quickly