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

Bibliography

(1) - ALTENBERG (L.) - Evolutionary Computation Models from Population Genetics, Part 2: An Historical Toolbox, - in Congress on Evolutionary Computation (2000).
(2) - ANGELINE (P.J.), POLLACK (J.B.) - Competitive Environments Evolve Better Solutions...