genetic algorithm
(GA) An evolutionary algorithm which generates each individual from some encoded form known as a "chromosome" or "genome". Chromosomes are combined or mutated to breed new individuals. "Crossover", the kind of recombination of chromosomes found in sexual reproduction in nature, is often also used in GAs. Here, an offspring's chromosome is created by joining segments choosen alternately from each of two parents' chromosomes which are of fixed length. GAs are useful for multidimensional optimisation problems in which the chromosome can encode the values for the different variables being optimised. Illinois Genetic Algorithms Laboratory (IlliGAL).Last updated: 1995-02-03
genetic algorithms
genetic algorithmgenetic programming
(GP) A programming technique which extends the genetic algorithm to the domain of whole computer programs. In GP, populations of programs are genetically bred to solve problems. Genetic programming can solve problems of system identification, classification, control, robotics, optimisation, game playing, and pattern recognition.
Starting with a primordial ooze of hundreds or thousands of randomly created programs composed of functions and terminals appropriate to the problem, the population is progressively evolved over a series of generations by applying the operations of Darwinian fitness proportionate reproduction and crossover (sexual recombination).Last updated: 1995-03-31
Nearby terms:
Genesia ♦ genetic algorithm ♦ genetic algorithms ♦ genetic programming
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