Swarm Based Population Seeding of Grammatical Evolution
نویسندگان
چکیده
منابع مشابه
Grammatical Swarm
This proof of concept study examines the possibility of specifying the construction of programs using a Particle Swarm algorithm, and represents a new form of automatic programming based on Social Learning, Social Programming or Swarm Programming. Each individual particle represents choices of program construction rules, where these rules are specified using a Backus-Naur Form grammar. The resu...
متن کاملGrammar based function definition in Grammatical Evolution
We describe the use of grammars as an approach to automatic function definition in Grammatical Evolution. The automatic generation of functions allows the evolution of both the function and the code belonging to the main body of the program which has the ability to call upon the evolving function. As proof of concept we apply a grammar using automatic function definition to the Santa Fe ant tra...
متن کاملGrammatical Swarm: A Variable-Length Particle Swarm Algorithm
This study examines a variable-length Particle Swarm Algorithm for Social Programming. The Grammatical Swarm algorithm is a form of Social Programming as it uses Particle Swarm Optimisation, a social swarm algorithm, for the automatic generation of programs. This study extends earlier work on a fixed-length incarnation of Grammatical Swarm, where each individual particle represents choices of p...
متن کاملPolicy Evolution with Grammatical Evolution
Security policies are becoming more sophisticated. Operational forces will often be faced with making tricky risk decisions and policies must be flexible enough to allow appropriate actions to be facilitated. Access requests are no longer simple subject access object matters. There is often a great deal of context to be taken into account. Most security work is couched in terms of risk manageme...
متن کاملGrammatical Evolution by Grammatical Evolution: The Evolution of Grammar and Genetic Code
This study examines the possibility of evolving the grammar that Grammatical Evolution uses to specify the construction of a syntactically correct solution. As the grammar dictates the space of symbols that can be used in a solution, its evolution represents the evolution of the genetic code itself. Results provide evidence to show that the coevolution of grammar and genetic code with a solutio...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Computer Science & Systems Biology
سال: 2013
ISSN: 0974-7230
DOI: 10.4172/jcsb.1000110