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In a unified and comprehensive manner, this book collects the results of evolutionary programming techniques available only in widely scattered research papers. The book includes a discussion of optimization problems in the areas of optimal control, operations research and engineering. New features are references to recent developments and a sample genetic code in C.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
I'm just starting out in data science and this has been a fantastic introduction! The program is well-structured and the examples really clarify how genetic algorithms work. Highly useful for students like me!
L
Liu Wei
Not Very User-Friendly
I had high hopes for this as I wanted to learn about evolution programs, but the interface was confusing. It took me a while to get a hang of the examples, and some of the instructions seemed unclear. Quite frustrating!
A
Anika Patel
A Must-Have for Data Enthusiasts
I recently dived into Genetic Algorithms and this program has been a lifesaver. The structure is easy to follow, and the examples on evolution processes are top-notch. Really helped me grasp complex concepts better!
S
Samuel Thompson
Good Resource, but Lacks Depth
While I found the overview of data structures helpful, some sections felt a bit shallow for my advanced level. It’s good for beginners, but I was hoping for more detailed explanations of the algorithms. Still, decent value for the price.
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⚠️ California Proposition 65 Warning: Some products sold on this website may expose you to chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm. For more information, visit www.P65Warnings.ca.gov.
