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Physical Sciences and Mathematics Commons™
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Full-Text Articles in Physical Sciences and Mathematics
Evolutionary Strategies For Data Mining, Rose Lowe
Evolutionary Strategies For Data Mining, Rose Lowe
All Dissertations
Learning classifier systems (LCS) have been successful in generating rules for solving classification problems in data mining. The rules are of the form IF condition THEN action. The condition encodes the features of the input space and the action encodes the class label. What is lacking in those systems is the ability to express each feature using a function that is appropriate for that feature. The genetic algorithm is capable of doing this but cannot because only one type of membership function
is provided. Thus, the genetic algorithm learns only the shape and placement of the membership function, and in …
Dnagents: Genetically Engineered Intelligent Mobile Agents, Jeremy Otho Kackley
Dnagents: Genetically Engineered Intelligent Mobile Agents, Jeremy Otho Kackley
Dissertations
Mobile agents are a useful paradigm for network coding providing many advantages and disadvantages. Unfortunately, widespread adoption of mobile agents has been hampered by the disadvantages, which could be said to outweigh the advantages. There is a variety of ongoing work to address these issues, and this is discussed. Ultimately, genetic algorithms are selected as the most interesting potential avenue. Genetic algorithms have many potential benefits for mobile agents. The primary benefit is the potential for agents to become even more adaptive to situational changes in the environment and/or emergent security risks. There are secondary benefits such as the natural …
Basic Online Scheduling System Optimizer: A Study In Genetic Alogrithms [Sic], Norman Lee Langhorne
Basic Online Scheduling System Optimizer: A Study In Genetic Alogrithms [Sic], Norman Lee Langhorne
Theses Digitization Project
The purpose of this project is to provide the School of Computer Science and Engineering at California State University, San Bernardino with an optimizing schedule module to enhance the latest version of the Basic Online Scheduling System.