5. Application examples
The EA fields of application are extremely varied, and involve researchers and engineers from a wide range of disciplines.
Numerical optimization: when the functions to be optimized are complex, of large dimensions, irregular or poorly known.
Combinatorial optimization: for graph-theoretic problems (travelling salesman, graph coloring), task sequencing, resource allocation, scheduling, backpacking, whose efficient resolution is most often based on AEs hybridized with "classical" techniques. It is in this context that numerous studies have been carried out on problem representation and constraint processing.
Artificial intelligence and cognitive sciences: where the adaptive capacities of AEs are exploited in hybridization with learning techniques (neural networks, language...
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Application examples
Conclusion
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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