%0 Book Section %1 ostrowski:2003:GPTP %A Ostrowski, David A. %A Reynolds, Robert G. %B Genetic Programming Theory and Practice %D 2003 %E Riolo, Rick L. %E Worzel, Bill %I Kluwer %K Hybrid OEM agent-based algorithms, black box cultural environments, evolution, genetic modeling, programming programming, strategy testing testing, white %P 63--80 %T Using Software Engineering Knowledge to Drive Genetic Program Design Using Cultural Algorithms Exploiting the Synergy of Software Engineering Knowledge in Evolutionary Design %X In this paper we use Cultural Algorithms as a framework in which to embed a white and black box testing strategy for designing and testing large-scale GP programs. The model consists of two populations, one supports white box testing of a Genetic Programming system and the other supports black box testing. The two populations communicate by sending information to a shared belief space. This allows a potential synergy between the two activities. Next, we exploit this synergy in order to evolve an OEM pricing strategy in a complex agent-based market environment. The new pricing strategy generated over $2 million dollars in revenue during the assessment period and outperformed the previous optimal strategy. %& 5

@incollection{ostrowski:2003:GPTP, abstract = {In this paper we use Cultural Algorithms as a framework in which to embed a white and black box testing strategy for designing and testing large-scale GP programs. The model consists of two populations, one supports white box testing of a Genetic Programming system and the other supports black box testing. The two populations communicate by sending information to a shared belief space. This allows a potential synergy between the two activities. Next, we exploit this synergy in order to evolve an OEM pricing strategy in a complex agent-based market environment. The new pricing strategy generated over $2 million dollars in revenue during the assessment period and outperformed the previous optimal strategy.}, added-at = {2008-06-19T17:35:00.000+0200}, author = {Ostrowski, David A. and Reynolds, Robert G.}, biburl = {https://www.bibsonomy.org/bibtex/295d4923ffdaaa0f2ab3526680fac5634/brazovayeye}, booktitle = {Genetic Programming Theory and Practice}, chapter = 5, editor = {Riolo, Rick L. and Worzel, Bill}, interhash = {53f9f5937fe96a5b66c63f1778ecabc9}, intrahash = {95d4923ffdaaa0f2ab3526680fac5634}, keywords = {Hybrid OEM agent-based algorithms, black box cultural environments, evolution, genetic modeling, programming programming, strategy testing testing, white}, pages = {63--80}, publisher = {Kluwer}, size = {pages}, timestamp = {2008-06-19T17:49:09.000+0200}, title = {Using Software Engineering Knowledge to Drive Genetic Program Design Using Cultural Algorithms Exploiting the Synergy of Software Engineering Knowledge in Evolutionary Design}, year = 2003 }