The book provides suggestions on how to start using bionic optimization methods, including pseudo-code examples of each of the important approaches and outlines of how to improve them. The most efficient methods for accelerating the studies are also discussed. These include the selection of size and generations of studies, modification of driving parameters, switching to gradient methods when approaching a local maximum and the use of parallel working hardware. A set of sample applications shows how Bionic Optimization works in practice. From academic studies on simple frames made of rods to...