Description
Genetic Algorithms in the Real World provides an in-depth examination of how genetic algorithms are applied to solve practical problems in contemporary industries. This 2018 hardcover edition from InTech covers the theoretical foundations and implementation strategies of evolutionary computation techniques.
The book demonstrates how genetic algorithms optimize solutions in fields ranging from engineering and manufacturing to finance and artificial intelligence. Readers will discover case studies of successful implementations, learn best practices for algorithm design, and understand how to adapt genetic algorithms to domain-specific challenges.
Written for both practitioners and researchers, this resource bridges the gap between academic theory and real-world application. It serves as an essential guide for engineers, data scientists, and developers seeking to leverage genetic algorithms for complex optimization problems and computational challenges.
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