Genetic Invariance: A New Approach to Genetic Algorithm [report]

Michael Lewchuk
Genetic algorithms are adaptive search algorithms which generate and test a population of individuals, where each individual corresponds to a solution. They then adapt to the information obtained from testing, seeking superior solutions by selecting and combining solutions of above a verage value. As the number of superior individuals in the population increases, the number of inferior individuals decreases. This thesis introduces Genetic Invariance, a similar family of generate and test
more » ... ate and test problem solvers which uses a di erent selection and replacement strategy.
doi:10.7939/r3sb3x233 fatcat:bm3v4jriancbpj7jgun7lcflyy