Hybridized crossover-based search techniques for program discovery
Oapos;Reilly, U.-M.; Oppacher, F.
Evolutionary Computation, 1995., IEEE International Conference on
Volume 2, Issue , 29 Nov-1 Dec 1995 Page(s):573 - 578 vol.2
Digital Object Identifier   10.1109/ICEC.1995.487447
Summary:Addresses the problem of program discovery as defined by genetic programming. By combining a hierarchical crossover operator with two traditional single-point search algorithms (simulated annealing and stochastic iterated hill climbing), we have solved some problems by processing fewer candidate solutions and with a greater probability of success than genetic programming. We have also enhanced genetic programming by hybridizing it with the simple idea of hill climbing from a few individuals, at a fixed interval of generations

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