Hitch-hiker's guide to genetic algorithms

التفاصيل البيبلوغرافية
العنوان: Hitch-hiker's guide to genetic algorithms
المؤلفون: M. T. Tham, G. B. Wetherill, M. C. South
المصدر: Journal of Applied Statistics. 20:153-175
بيانات النشر: Informa UK Limited, 1993.
سنة النشر: 1993
مصطلحات موضوعية: Statistics and Probability, Focus (computing), business.industry, Function optimization, Management science, Control (management), Quality control and genetic algorithms, Machine learning, computer.software_genre, Identification (information), Robustness (computer science), Artificial intelligence, Noise (video), Statistics, Probability and Uncertainty, business, Set (psychology), computer
الوصف: Genetic algorithms are a set of algorithms with properties which enable them to efficiently search large solution spaces where conventional statistical methodology is inappropriate. They have been used to find effective control and design strategies in industry, for finding rules relating factors and outcomes in medicine and business, and for solving problems ranging from function optimization to identification of patterns in data. They work using ideas from biology, specifically from population genetics, and are appealing because of their robustness in the presence of noise and their ability to cope with highly non-linear, multimodal and multivariate problems. This paper reviews the current literature on genetic algorithms. It looks at ways of defining genetic algorithms for various problems, and examples are introduced to illustrate their application in different contexts. It summarizes the different aspects which have been, and continue to be, the focus of research, and areas requiring further invetiga...
تدمد: 1360-0532
0266-4763
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::c20c2263f48aac09179e6e661c15642c
https://doi.org/10.1080/02664769300000013
رقم الأكسشن: edsair.doi...........c20c2263f48aac09179e6e661c15642c
قاعدة البيانات: OpenAIRE