Abstract
Research on meta-heuristics, other high level computational intelligence techniques and evolutionary computing, are the focus of researchers in the current industrial revolution. Nature-inspired algorithms have been discussed intensively in the previous chapters. They are very useful algorithms for solving complex problems. Traditional algorithms may not offer good solutions to such complex problems. Non-linear and stochastic problems require sophisticated algorithms especially to support the technologies of industry 4.0. This present industrial revolution which represent the successive trend of digital technologies can be described as a blurred streak between idea and reality, biological and digital connections where meta-heuristic techniques will be very useful in real-life problem solving. Other interesting meta-heuristic and hybrid algorithms for the future are detailed in this chapter.
| Original language | English |
|---|---|
| Title of host publication | Studies in Computational Intelligence |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 147-151 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2021 |
Publication series
| Name | Studies in Computational Intelligence |
|---|---|
| Volume | 927 |
| ISSN (Print) | 1860-949X |
| ISSN (Electronic) | 1860-9503 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
ASJC Scopus subject areas
- Artificial Intelligence
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