Genetic Algorithms in Search, Optimization, and Machine Learning 1st Edition

The "Genetic Algorithms in Search, Optimization and Machine Learning 1st Edition" book has received mixed reviews from customers. Some customers found the book to be highly informative, explaining the foundation of genetic algorithms better than any other book they had read. They appreciated the depth of knowledge provided in the first few chapters. However, other customers felt that the book was dated, with irrelevant code examples in Pascal, which is no longer commonly used. They also found the book to be unnecessarily long, with redundant information and overly specific examples that were not easily generalized. One customer mentioned that the book was helpful in developing a search algorithm for their specific needs and praised the practical implementation suggestions throughout the text. Another customer appreciated the fast shipping and found the book to be a valuable resource for their studies. Overall, while the book is praised for its depth of information on genetic algorithms, it may not be suitable for those looking for more modern examples and practical applications. It seems to be geared more towards readers interested in foundational knowledge rather than hands-on implementation. **