Evolutionary Computation and QSAR Research
نویسندگان
چکیده
منابع مشابه
Experimental Research in Evolutionary Computation - ReadingSample
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II complexity of the algorithm is greatly reduced especially to large scale problems. Applying this application of FSO on large number of instances and comparing with GA, the experiments results shows that these designs could improve the effectiveness, convergence rate and stability for FSO. Since various optimization algorithms take the different speed of operation or evolutionary (iteration) ...
متن کاملEvolutionary Computation
This chapter addresses the integration of knowledge discovery in databases (KDD) and evolutionary algorithms (EAs), particularly genetic algorithms and genetic programming. First we provide a brief overview of EAs. Then the remaining text is divided into three parts. Section 2 discusses the use of EAs for KDD. The emphasis is on the use of EAs in attribute selection and in the optimization of p...
متن کاملEvolutionary computation.
Evolution does not require DNA, or even living organisms. In computer science, the field known as 'evolutionary computation' uses evolution as an algorithmic tool, implementing random variation, reproduction and selection by altering and moving data within a computer. This harnesses the power of evolution as an alternative to the more traditional ways to design software or hardware. Research in...
متن کاملEvolutionary Computation
Evolutionary Computation is a general term for a group of techniques which solve complex problems quickly and efficiently by using principles derived from biological evolution and genetics. The two most prominent methods are genetic algorithms and genetic programming. The classic references are Holland (1975) for genetic algorithms (GAs) and Koza (1992) for genetic programming (GPs). Fundamenta...
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ژورنال
عنوان ژورنال: Current Computer Aided-Drug Design
سال: 2013
ISSN: 1573-4099
DOI: 10.2174/1573409911309020006