Psychology Wiki
(New page: {{BioPsy}} While evolutionary computation mainly treats the population as a whole, an equivalent approach is to separate from the current population those individuals that will have ch...)
 
No edit summary
 
Line 1: Line 1:
 
{{BioPsy}}
 
{{BioPsy}}
 
While [[evolutionary computation]] mainly treats the population as a whole, an equivalent approach is to separate from the current population those individuals that will have children. These are placed into a ''mating pool''. That is, [[fitness (genetic algorithm)|fitness]] selection is performed separately before genetic operations. Children are created from parents chosen only from the mating pool.
 
While [[evolutionary computation]] mainly treats the population as a whole, an equivalent approach is to separate from the current population those individuals that will have children. These are placed into a ''mating pool''. That is, [[fitness (genetic algorithm)|fitness]] selection is performed separately before genetic operations. Children are created from parents chosen only from the mating pool.
  +
  +
==See also==
  +
*[[Fitness (biology)]]
   
 
==References==
 
==References==

Latest revision as of 11:00, 15 February 2008

Assessment | Biopsychology | Comparative | Cognitive | Developmental | Language | Individual differences | Personality | Philosophy | Social |
Methods | Statistics | Clinical | Educational | Industrial | Professional items | World psychology |

Biological: Behavioural genetics · Evolutionary psychology · Neuroanatomy · Neurochemistry · Neuroendocrinology · Neuroscience · Psychoneuroimmunology · Physiological Psychology · Psychopharmacology (Index, Outline)


While evolutionary computation mainly treats the population as a whole, an equivalent approach is to separate from the current population those individuals that will have children. These are placed into a mating pool. That is, fitness selection is performed separately before genetic operations. Children are created from parents chosen only from the mating pool.

See also

References

Foundations of Genetic Programming.