Biological Optimisation and Management

Biologically inspired optimisation approaches use mechanisms inspired by biological evolution, such as reproduction, mutation, recombination, and selection. For example, so-called evolutionary algorithms perform well at approximating solutions to all types of problems because they ideally do not make any assumption about the underlying fitness landscape. Simple evolutionary algorithms can solve often complex problems. Another approach of biological optimisation is computer aided optimization that is based on the simulation of the growth rule of biological systems (tree, bone, etc.) and is therefore a method from the field of biomimetics. Theory- and simulation-based original publications as well as novel methodology papers are welcomed for this section.