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dc.contributor.authorARUNRUDRA-
dc.date.accessioned2016-03-11T08:10:06Z-
dc.date.available2016-03-11T08:10:06Z-
dc.date.issued2016-03-
dc.identifier.urihttp://dspace.dtu.ac.in:8080/jspui/handle/repository/14510-
dc.description.abstractABSTRACT Evolutionary Algorithms (EAs) cover all the applications involving the use of Evolutionary Computationin electronic system design. It is largely applied to complex optimizationproblems. EAs introduce a new idea for automatic design of electronic systems; instead of imaginemodel, abstractions, and conventional techniques, it uses search algorithm to design a circuit. In this project we have used Genetic Algorithm (GA) as the Evolutionary Algorithm and Entropybased measures, such as Mutual Informationand Normalized MutualInformation are investigated as toolsfor similarity, measures between the target and evolving circuit. The target circuit evolved is combinational logic circuit, a Majority Function using Genetic algorithm and Information Theory Measures.The circuit evolved uses only 2x1 multiplexers and the evolved circuit is compared to the circuit identified usingen_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesTD 1150;-
dc.subjectLogic Circuit Synthesisen_US
dc.subjectCircuit Synthesisen_US
dc.subjectFitness Functionen_US
dc.titleEVOLUTIONARY LOGIC CIRCUIT SYNTHESIS BASED ON MUTUAL INFORMATION BASED FITNES FUNCTIONen_US
dc.typeThesisen_US
Appears in Collections:M.E./M.Tech. Electronics & Communication Engineering

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