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Introduction to Genetic Algorithms is a comprehensive book for undergraduate students. The book explains how computer technology is used to mathematically model genetic problems using MATLAB software and C/C++. Intended for beginners, the book discusses the basic concepts of genetic algorithms, giving them coverage of adaptive heuristic search algorithms premised on the evolutionary ideas of natural selection and genetics. In addition, students will benefit from the application of the basic principles of Natural Selection adapted from Darwin’s classic theory. The book presents a set of problems using the theory to showcase how the algorithms are applied and explains the simulated set of results for the students to learn how to interpret them. The book is a must have for anyone learning to use these algorithms in the fields of Machine learning, Mechanical Engineering, Electrical Engineering, Civil Engineering, Data Mining, Image Processing, and VLSI. About the Authors S. N. Deepa and S. N. Divanandam are Indian academicians, researchers and writers. They have taught genetic algorithms to many students, imparting their love for the subject so that the field has consistent growth.