Optimistic Perspective on Bio-Inspired Algorithms

Aimed at students and researchers in bio engineering and natural computing, this book traces the development of bio-inspired computing from its origins and then moves into building these methods in Python. Five nature-based techniques are examined: the Boids flocking model, the Firefly algorithm, Ant Colony Optimization, Particle Swarm Optimization (PSO), and Cuckoo Search. Alongside the algorithms, the author introduces the fundamentals of relevant Python packages and shows how to use them in practice.