In literature, meta-heuristic algorithms are commonly classified into four groups: (1) Swam-based, (2) Physics-Based, (3) Human Behavior-Based, and (4) Evolutionary-Based. I was wondering what were the latest evolutionary-based algorithms (which employ evolutionary operators) that were developed in the last couple of years, since as far as I can tell, both swarm and physics-based algorithms received most of the attention lately. Thanks in advance.
Please check Symbiotic Organism Search. Even Genetic Algorithm has many hybrid variants.
I believe that all categories have variations and none of them become obsolete.
Many kinds of research are improving operators of PSO, GA, and so on.
A number of MA were developed this year. Check out the following
Smell Agent Optimization :https://www.sciencedirect.com/science/article/abs/pii/S0950705121007486
Aquila Optimizer : https://www.sciencedirect.com/science/article/abs/pii/S0360835221001546
Arithmantic Optimization Algorithm: https://www.sciencedirect.com/science/article/pii/S0045782520307945
I would like to invite you to have a look on the following links. Please use my algorithms in your research.
SSO: https://www.mathworks.com/matlabcentral/fileexchange/92150-sperm-swarm-optimization-sso
HSSOGSA: https://www.mathworks.com/matlabcentral/fileexchange/92130-hssogsa?s_tid=srchtitle
MOSFP: https://github.com/sh7adeh1990/MOSFP
Thank you very much for your time and efforts.
Optimizing the DNA fragment assembly using metaheuristics is one of the intriguing things in this field.
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