4. Model extensions
4.1 Nesting and multimodal landscapes
When the functions to be optimized have several equivalent optima, classical EA converges randomly toward only one of the optima. However, in many applications, it is sometimes important to be able to detect all the optima, i.e., to do more than simply search for the optimal solution. Extensions of classical AE, modeled on the natural phenomenon of ecological niche creation, are based on the implicit or explicit management of subpopulations (or niches).
Resource sharing patterns are particularly interesting: if individuals within the same subpopulation have to share their resources, the growth of that subpopulation is limited, and when there is overpopulation, individuals tend to seek out new regions to colonize....
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Model extensions
Examples of application
Bibliography
Software tools
Inspyred, a library of bio-inspired algorithms in Python
https://pythonhosted.org/inspyred/
GAlib - C++ Genetic Algorithms Library
https://sourceforge.net/projects/galib/
Matlab Global Optimization...
Websites
Artificial Evolution Association
It brings together French researchers in this field and organizes international conferences (EA), workshops, and schools.
SIGEVO, Special Interest Group on Genetic and Evolutionary Computation
Events
ACM Genetic and Evolutionary Computation Conference (GECCO)
https://dl.acm.org/conference/gecco
IEEE Congress on Evolutionary Computation (CEC)
https://en.wikipedia.org/wiki/IEEE_Congress_on_Evolutionary_Computation
...
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