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| Multi-Gene Expression Programming with Depth-First Decoding Principle |
| DENG Wei1,HE Pei1,2,QIAN Jun-Yan3 |
1.School of Computer and Communication Engineering,Changsha University of Science and Technology,Changsha 410114
2.Key Laboratory of High Confidence Software Technologies of Ministry of Education,Peking University,Beijing 100871
3.Guangxi Key Laboratory of Trusted Software,Guilin University of Electronic Technology,Guilin 541004 |
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Abstract Gene expression programming (GEP) is an automatic programming approach which is widely used in many areas. As far as the decoding method is concerned,it uses the breadth-first principle to transform individuals into expressions. It means that the meaning of a gene segment will change with the context. Consequently,any individual can not be concurrently evaluated in most existing GEPs. In this paper,the theoretical analysis and experiments show that the depth-first principle as well as multi-solution techniques,i.e. techniques for encoding of multiple solutions into a single chromosome,can not only solve the mentioned GEP problem,but also significantly improve its performance.
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Received: 07 January 2013
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2013, Vol. 26 
