Genetic algorithm using the evola package
1) Optimizing the selection of one feature with a constraint in another feature | 2) Obtaining subsample of a population to maximize a feature while constraining the relationship between individuals in the population | 2a) Best parents for the next generation | 2b) Obtaining optimal N crosses from a population for a given trait/feature | 3) Optimizing a subsample of size N to be representative | 3a) Optimizing a subsample of size N to be representative of its own | 3b) Optimizing a subsample of size N to be representative of another population | 6) How to specify constraints | Gender in breeding | Number of times a parent should be used | 6) Customizing a fitness function (linear regression example) | 7) Travel salesman problem | 8) How to force the initial solutions or founders | 9) How to optimize the number of progeny to produce per cross | Literature