Advances in Bio-inspired Computing for Combinatorial Optimization Problems

Focusing on bio-inspired algorithms, this book explores innovative methods for tackling NP-hard problems. It delves into theoretical concepts and models, particularly those related to agents, ants, and virtual robots. Additionally, it examines variations of the Traveling Salesman Problem, showcasing the application of biological principles to enhance computational efficiency and problem-solving techniques.