TY - CHAP AU - Hirotaka Itoh ED - Donald Davendra Y1 - 2010-12-30 PY - 2010 T1 - The Method of Solving for Traveling Salesman Problem Using Genetic Algorithm with Immune Adjustment Mechanism N2 - This book is a collection of current research in the application of evolutionary algorithms and other optimal algorithms to solving the TSP problem. It brings together researchers with applications in Artificial Immune Systems, Genetic Algorithms, Neural Networks and Differential Evolution Algorithm. Hybrid systems, like Fuzzy Maps, Chaotic Maps and Parallelized TSP are also presented. Most importantly, this book presents both theoretical as well as practical applications of TSP, which will be a vital tool for researchers and graduate entry students in the field of applied Mathematics, Computing Science and Engineering. BT - Traveling Salesman Problem SP - Ch. 7 UR - https://doi.org/10.5772/13319 DO - 10.5772/13319 SN - PB - IntechOpen CY - Rijeka Y2 - 2024-03-28 ER -