On relationships between semantic diversity, complexity and modularity of programming tasks
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Geometric semantic genetic programming
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
Pattern-guided genetic programming
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Genetic Programming and Emergence
Genetic Programming and Evolvable Machines
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Genetic Programming and Evolvable Machines
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Program behavior results from the interactions of instructions with data. In genetic programming, a substantial part of that behavior is not explicitly rewarded by fitness function, and thus emergent. This includes the intermediate memory states traversed by the executing programs. We argue that the potentially useful intermediate states can be detected and used to make evolutionary search more effective.