5. Examples of application
EA covers an extremely wide range of applications and is of interest to researchers and engineers from a wide variety of disciplines.
In numerical optimization: when the functions to be optimized are complex, large-scale, irregular, or poorly understood.
In combinatorial optimization: for problems in graph theory (traveling salesman, graph coloring), task sequencing, resource allocation, scheduling, and knapsack problems, whose efficient resolution is most often based on AEs hybridized with "classical" techniques. It is in this context that numerous studies have been conducted on the representation of problems and the handling of constraints.
In artificial intelligence and cognitive science: where we tend to exploit the adaptive capabilities of AEs in combination with learning...
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Examples of application
Conclusion
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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