generation based:
steady state: adds and deletes individuals to current population Standard selection schemes (STD):
- porportionate
- truncation
- ranking
- tournament
- Boltzmann's (less known)
All have the property and goal to evolve the population toward higher fitness.
Problems:
- multiple parameters, constant or dinnamic...
- premature convergence
- no convergence To research:
-multiobjective evolutionary algorithms
https://www.ime.usp.br/~rvicente/research.html
@article{DBLP:journals/corr/abs-cs-0610126, author = {Marcus Hutter and Shane Legg}, title = {Fitness Uniform Optimization}, journal = {CoRR}, volume = {abs/cs/0610126}, year = {2006}, url = {http://arxiv.org/abs/cs/0610126}, eprinttype = {arXiv}, eprint = {cs/0610126}, timestamp = {Mon, 13 Aug 2018 16:48:32 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-cs-0610126.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
Allele
Chromosome
Individual
Population
Generation
Fitness
Mating/Crossover
Mutation