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Titlebook: Genetic Programming and Data Structures; Genetic Programming W. B. Langdon Book 1998 Springer Science+Business Media New York 1998 Schedul

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书目名称Genetic Programming and Data Structures
副标题Genetic Programming
编辑W. B. Langdon
视频video
丛书名称Genetic Programming
图书封面Titlebook: Genetic Programming and Data Structures; Genetic Programming  W. B. Langdon Book 1998 Springer Science+Business Media New York 1998 Schedul
描述Computers that `program themselves‘ has long been an aim ofcomputer scientists. Recently genetic programming (GP) has started toshow its promise by automatically evolving programs. Indeed in a smallnumber of problems GP has evolved programs whose performance issimilar to or even slightly better than that of programs written bypeople. The main thrust of GP has been to automatically createfunctions. While these can be of great use they contain no memory andrelatively little work has addressed automatic creation of programcode including stored data. This issue is the main focus of .GeneticProgramming, and Data. .Structures: Genetic Programming + DataStructures = Automatic. .Programming!.. .This book is motivated by the observation from software engineeringthat data abstraction (e.g., via abstract data types) is essential inprograms created by human programmers. This book shows that abstractdata types can be similarly beneficial to the automatic production ofprograms using GP. ..Genetic Programming and Data Structures: Genetic Programming +Data. .Structures = Automatic Programming!. shows how abstractdata types (stacks, queues and lists) can be evolved using geneticprogramming, demonst
出版日期Book 1998
关键词Scheduling; algorithms; artificial intelligence; automatic programming; code; data structure; data structu
版次1
doihttps://doi.org/10.1007/978-1-4615-5731-9
isbn_softcover978-1-4613-7625-5
isbn_ebook978-1-4615-5731-9Series ISSN 1566-7863
issn_series 1566-7863
copyrightSpringer Science+Business Media New York 1998
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Introduction,ce improvement in one aspect will affect many others in an unpredictable and so usually negative way. Global memory allows such complex interactions. In software engineering complex interactions via global memory can be tackled by controlling programmers use of memory with scoping rules and abstract data types, such as stack, queues, files etc.
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Problems Solved Using Data Structures,e which is appropriate to the problem rather than indexed memory when both are available. Section 7.4 reviews published GP work where explicit memory is used and concludes that in most successful cases data structures appropriate to the problem have been provided for the GP (although the experimenter may not have used the term “data structure”).
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https://doi.org/10.1007/978-90-313-7641-4dely used many digital computers include explicit machine code support for one or more stacks. This chapter shows that genetic programming can automatically synthesise an integer stack from randomly addressable memory when guided by a fitness function that considers only the outputs of the stack and does not consider its implementation.
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volgens de krant is er nog kans op genezing presence of “deceptive” high scoring partial solutions in the population. These cause a negative correlation between necessary primitives and fitness. As Price’s theorem predicts, their frequency falls, eventually leading to their extinction and so to the impossibility of finding solutions like those that are evolved in successful runs.
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