Where should I start if I want to learn about Evolutionary Computation?
If you're interested in learning more about evolutionary computation, there are several places where you can begin:

1.  Academic literature: Start by reviewing the existing research on evolutionary algorithms and related fields such as natural selection, genetics, and population dynamics. Look for books, papers, and online resources that cover the subject in depth.
    
2.  Practical experience: If you have some background in computer science or a related field, consider taking an online course or participating in a workshop on evolutionary computing. This will give you hands-on experience with the concepts and techniques involved in evolutionary computation.
    
3.  Computational tools: There are many computational tools available for designing and running evolutionary algorithms, including genetic programming (GP) software, optimization algorithms like Particle Swarm Optimization (PSO), and decision trees. You may also want to explore specialized software designed specifically for evolutionary computation.
    
4.  Artificial life: The study of artificial life is closely related to evolutionary computing, and you might find it useful to understand both topics in greater detail. Some popular textbooks on artificial life include "The Origin of Life" by Charles Darwin and "Reinventing Nature" by Peter Watts.
    
5.  Internet forums and communities: Join online forums and communities related to evolutionary computing, such as Stack Overflow and the Genetic Programming Forum, to stay updated on developments in the field and connect with other researchers and practitioners.
    
6.  Participate in workshops and conferences: Attend workshops and conferences relevant to evolutionary computing and engage with speakers and attendees to gain new knowledge and insights into the topic.
    
7.  Study nature: As always, studying nature is one of the most effective ways to learn about evolution and apply it to problems in engineering and other disciplines. Try reading scientific journals or watching documentaries about biological evolution to get a deeper understanding of how evolutionary processes work.
    

Remember, when learning about anything, it's important to approach the material from multiple perspectives and seek out additional information whenever necessary. Good luck!