They produce offspring which inherit the characteristics of the parents and will be added to the next generation. The process of natural selection starts with the selection of fittest individuals from a population. GA follows the notion of natural selection. GA is a search-based algorithm inspired by Charles Darwin’s theory of natural evolution. In this article, we will understand the functions involved in genetic algorithm and try to implement it for a simple Traveling Salesman Problem using python. Heuristics algorithms are meant to find an approximate solution as the search algorithm does not traverse through all the possible solution. Some of the heuristic algorithms are listed below: To mitigate such issues, it is a common practice in optimization community to resort various heuristics algorithms and reach a feasible solution which may or may not be an optimum solution. While solving large scale linear/integer problems, it becomes extensively difficult to solve or even reach a feasible solution within the prescribed practical duration.
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