If someone ask from you “how AI solve problems in real life” the answer would be “ it is same as how animal(people ) solve that problem in real life”. All the problem solving strategies or methodologies based on some natural phenomena. People developed problem solving methodologies by examine the evolution in the natural world. It displays a remarkable problem solving ability. It would therefore not be unreasonable to deduce that a problem solving strategy, inspired by the mechanics of natural selection and genetics, may prove highly effective in solving certain classes of problems.
Genetic algorithms emulate the mechanics of natural selection by a process of randomized data exchange. In this way they are able to solve of range of difficult problems which cannot be tackled by other approaches. Because genetic algorithms were inspired by the behavior of natural systems, the terminology used to describe them is a mix from both biological and computer fields.
Genetic algorithms were developed after original work by Holland. GA solves problem, which a closed-form solution is unknown, or impossible to obtain with classical methods.
Genetic algorithm Sample Simulator
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