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The aim of this book is to attempt, in a small way, to bridge the gap between Nature Inspired Computing research and real-world applications. The domain that we utilise is that of delivery problems, that being an area that has increasing relevance to many of us in our day-to-day lives. I first encountered Nature Inspired Computing in the form of Evolutionary Algorithms as an undergraduate student. In my class, an assessment had been set that involved writing a program to solve the Travelling Salesperson Problem, and the suggested technique involved concurrent programming, recursion and trees. I’m not sure who introduced me to the EA, but I soon realised that I could code an EA to find an answer to the TSP far more quickly than my classmates could build their assessment. Not only did I get the assignment completed far quicker than anyone else, but I also avoided having to deal with such issues as recursion, trees and parallelism. My lecturer (who later became a valued colleague) was not overly impressed. This initiation into Nature Inspired Computing captured my imagination and started me on a journey that lead to an Undergraduate dissertation, a Ph.D. thesis and then many happy years lecturing at Edinburgh Napier University. By the end of this book, I hope that the reader will have learned not only about NIS, but also grasped how to apply it to solve useful problems. I also hope that some of my enthusiasm for Nature Inspired Computing will have been passed on. I have attempted to take a practical approach within this book, making sure that emphasis is placed on implementation issues as much as on theory.