PPT ON GENE EXPRESSION PROGRAMMING: A NEW ADAPTIVE ALGORITHM FOR SOLVING PROBLEMS
Gene expression programming, a genotype/phenotype genetic algorithm uses character linear chromosomes composed of genes structurally organized in a head and tail. The Chromosomes function as a genome and are subjected to modification by means of mutation, transposition, root transposition, gene transposition, gene recombination, and one- and two-point recombination. These chromosomes are encoded as expression trees allow the algorithm to perform with high efficiency. Number of versatile problems like symbolic regression, sequence induction with and without constant creation, blocks stacking, cellular automata rules for the density-classification problem, and two problems of Boolean concept learning: the 11-multiplexer and the GP rule problem.
