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Formality Based Genetic Programming

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成果类型:
期刊论文、会议论文
作者:
He, Pei*;Kang, Lishan;Fu, Ming
通讯作者:
He, Pei
作者机构:
[He, Pei] Wuhan Univ, State Key Lab Software Engn, Wuhan 430072, Peoples R China.
[Fu, Ming; He, Pei] Changsha Univ Sci & Technol, Sch Comp & Commun Engn, Changsha 410076, Peoples R China.
[Kang, Lishan] Wuhan Univ, Wuhan 430072, Peoples R China.
[Kang, Lishan] China Univ Geosci, Beijing, Peoples R China.
通讯机构:
[He, Pei] W
Wuhan Univ, State Key Lab Software Engn, Wuhan 430072, Peoples R China.
语种:
英文
期刊:
2008 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-8
年:
2008
页码:
4080-4087
会议名称:
Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2008, June 1-6, 2008, Hong Kong, China
基金类别:
National Natural Science Foundation of China [60473081]; Natural Science Foundation of Human, China [07JJ3120]
机构署名:
本校为其他机构
院系归属:
计算机与通信工程学院
摘要:
Genetic programming (GP) is an illogical method for automatic programming. It shows creativity in discovering a desired program to solve problem, but in essence bases its searching principle on software testing. This paper is dedicated to establishing a novel GP which combines classical GP and formal approaches like Hoarepsilas logic, model checking, and automaton, etc. The result indicates these methods can collaborate in the framework pretty well. As has been demonstrated by the experiment, they work in a way that preserves their advantages while each compensates for the deficiencies of the ...

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