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2. Programming and using an evolutionary algorithm
2.1 Structure and ingredients
The basic ingredients of a "canonical" evolutionary algorithm can be described simply; however, what follows should be understood as a "recipe". Effective applications based on evolutionary algorithms are often more complex, the essential problem being to adapt, even create, one's own operators to match the specificities of the problem.
The basis of a classical evolutionary algorithm is a generational loop of populations of individuals, each corresponding to a solution to the problem under consideration
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Programming and using an evolutionary algorithm
Theoretical overview: why and how does it work?
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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