Biological Optimisation and Management
A section of Biomimetics (ISSN 2313-7673).
Section Information
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.
Editorial Board
Topical Advisory Panel
Special Issues
Following special issues within this section are currently open for submissions:
- Emergent Intelligence in Simple and Single-Celled Organisms (Deadline: 15 July 2024)
- Nature-Inspired Metaheuristic Optimization Algorithms 2024 (Deadline: 15 July 2024)
- Computer-Aided Biomimetics: 2nd Edition (Deadline: 31 July 2024)
- Bio-Inspired Data-Driven Methods and Their Applications in Engineering Control, Optimization and AI (Deadline: 15 October 2024)
- Bio-Inspired Optimization Algorithms and Designs for Engineering Applications: 2nd Edition (Deadline: 31 December 2024)
