Using Software Engineering Knowledge to Drive Genetic Program Design Using Cultural Algorithms
作者： David A. Ostrowski , Robert G. Reynolds
DOI: 10.1007/978-1-4419-8983-3_5
关键词: Software Engineering Process Group 、 Software construction 、 Genetic program 、 Algorithm 、 White-box testing 、 Social software engineering 、 Software engineering 、 Exploit 、 Genetic programming 、 Search-based software engineering 、 Engineering
摘要: In this paper, we use Cultural Algorithms as a framework in which to embed white and black box testing strategy for designing large-scale GP programs. The model consists of two populations, one supports genetic programming system the other testing. populations communicate by sending information shared belief space. This allows potential synergy between activities. Next, exploit order evolve an OEM pricing complex agent-based market environment. new generated over $2 million dollars revenue during assessment period outperformed previous optimal strategy.
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