Articles
Published 15-05-2021
Keywords
- Evolutionary Algorithms,
- Genetic Algorithms,
- Genetic Programming,
- Optimization,
- Evolutionary Computation
- Metaheuristics,
- Search Algorithms,
- Nature-Inspired Algorithms ...More
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
How to Cite
[1]
Dr. Sarah Johnson, “Evolutionary Algorithms for Optimization”, Hong Kong J. of AI and Med., vol. 1, no. 1, pp. 1–13, May 2021, Accessed: Sep. 19, 2024. [Online]. Available: https://hongkongscipub.com/index.php/hkjaim/article/view/10
Abstract
Evolutionary algorithms (EAs) are a class of optimization algorithms inspired by the principles of natural evolution. Among EAs, genetic algorithms (GAs) and genetic programming (GP) are prominent techniques for solving complex optimization problems. This paper provides an overview of EAs, focusing on GAs and GP, and discusses their applications, advantages, and challenges. We also review recent developments in the field and suggest future research directions.
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