NATURE- AND BIO-INSPIRED OPTIMIZATION: THE GOOD, THE BAD, THE UGLY AND THE HOPEFUL
Author/s
Molina Cabrera, Daniel; POYATOS AMADOR, JAVIER; OSABA ICEDO, ENEKO; DEL SER LORENTE, JAVIER; HERRERA TRIGUERO, FRANCISCODate
2022-03Keywords
Bio-inspired optimization
Nature-inspired optimization
Optimization
Evolutionary Algorithm
Abstract
Nowadays, optimization has become an important issue for industrial systems and product development. From an engineering perspective, optimization implies adjusting or fine-tuning system designs considering one or more performance factors. Unfortunately, for many complex problems there is no optimization technique that can achieve the optimum solution in a reasonable computation time. As a result, the optimization process is often done manually. In recent years a myriad of optimization techniques have appeared, all inspired by phenomena observed in nature, such as behavioral patterns in animals (such as the exploration and search for food, moving, hunting, …), physical and chemical processes [1]. These techniques, often referred to as nature- or bio-inspired optimization algorithms, allow users to optimize a problem without requiring special knowledge about it: they only need to be informed about the fitness function to be optimized, and the mechanisms by which new candidate solutions ...
Type
journal article