Advanced Bioinspiration Methods for Optimisation Problems
Hadj Ahmed Bouarara · Advances in healthcare information systems and administration book series · 2022
Over the past decade, solving complex optimization problems with metaheuristics has received considerable attention among practitioners and researchers. As a result, many metaheuristic algorithms have been developed in recent years, and a large majority of these algorithms are often inspired by nature. Today, bio-inspired methods are becoming more and more popular. This popularity and success stems mainly from the fact that these algorithms were developed by mimicking nature's most efficient processes, including biological systems and physical and chemical processes. In this chapter, we will talk about metaheuristics and bio-inspired algorithms in general. From their basic concepts to their applications.