Artificial Intelligence, Evolutionary Computing and Metaheuristics

This comprehensive exploration of computational intelligence bridges the foundational work of Alan Turing with cutting-edge developments in artificial intelligence and optimization algorithms. The book systematically examines evolutionary computing, metaheuristics, and their mathematical underpinnings, providing both theoretical frameworks and practical applications that demonstrate how Turing's concepts continue to shape modern computational methods. Readers will appreciate the clear connections drawn between Turing's pioneering ideas about computability and contemporary AI systems that drive everything from search engines to autonomous vehicles.

What sets this work apart is its balanced approach to complex computational concepts, making advanced topics in swarm intelligence and evolutionary algorithms accessible without sacrificing mathematical rigor. The Turing centenary context provides a compelling historical narrative that grounds technical content in real scientific progress, showing how abstract concepts from decades ago now power the devices we use daily. For students and professionals in computer science, engineering, or data science, this book offers both the historical perspective and technical depth needed to understand where AI came from and where it's heading next.