Exploiting Auto-adaptive $\mu$-GP for Highly Effective Test Programs Generation

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{corno:2003:ICES,

• author = "F. Corno and F. Cumani and G. Squillero",
• title = "Exploiting Auto-adaptive $\mu$-{GP} for Highly Effective Test Programs Generation",
• booktitle = "Evolvable Systems: From Biology to Hardware, Fifth International Conference, ICES 2003",
• year = "2003",
• editor = "Andy M. Tyrrell and Pauline C. Haddow and Jim Torresen",
• volume = "2606",
• series = "LNCS",
• pages = "262--273",
• address = "Trondheim, Norway",
• month = "17-20 " # mar,
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-00730-X",
• DOI = "doi:10.1007/3-540-36553-2_24",
• abstract = "Integrated-circuit producers are shoved by competitive pressure; new devices require increasingly complex verifications to be performed at increasing pace. This paper presents a methodology to automatically induce a test program for a microprocessor that maximizes a given verification metric. The methodology is based on an auto-adaptive evolutionary algorithm and exploits a syntactical description of microprocessor assembly language and an RT-level functional model. Experimental results clearly show the effectiveness of the approach. Comparisons reveal how auto-adaptive mechanisms dramatically enhance both performances and quality of the results.",
• notes = "ICES-2003",

}

Genetic Programming entries for Fulvio Corno F Cumani Giovanni Squillero

Citations