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4. Model extensions
4.1 Nesting and multimodal landscapes
When the functions to be optimized have several equivalent optima, classical AE converges randomly on just 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 EA, copied from the natural phenomenon of ecological niche creation, are based on the implicit or explicit management of sub-populations (or niches). Resource-sharing schemes are particularly interesting: if individuals from the same sub-population have to share their resources, the growth of this sub-population is limited, and when overpopulation occurs, individuals tend to look for new regions to colonize.
Nesting methods...
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Model extensions
Application examples
Bibliography
Software tools
Inspyred, a library of bioinspired algorithms in Python language
https://pythonhosted.org/inspyred/
GAlib - C++ Genetic Algorithms Library
https://sourceforge.net/projects/galib/
Matlab Global Optimization...
Websites
Association Évolution artificielle
It brings together French researchers in this field and organizes international conferences (EA), conferences 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)
EvoStar
Co-location of four international...
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