Development of a Genetic Algorithm Based Search Strategy Suited For Design Optimisation of Internal Combustion Engines

Simple item page
dc.creatorNalitolela, Noel Gerald
dc.creatorMshana, J. S.
dc.date2016-07-14T20:43:34Z
dc.date2016-07-14T20:43:34Z
dc.date2008
dc.date.accessioned2018-03-27T08:38:10Z
dc.date.available2018-03-27T08:38:10Z
dc.descriptionEngine design optimisation is a multi-objective, multi-domain problem in a discontinuous design space. The state of the art of optimisation techniques shows that only methods of direct and adaptive search are appropriate for this type of problem. These include, adaptive random search, simulated annealing, evolution strategies and genetic algorithms. Of these methods, the genetic algorithms have been shown to be the most suited for the optimisation of multi-modal response functions in a discontinuous design space. This paper considers the important characteristics of genetic algorithms and their adaptation for use in parametric design optimisation of internal combustion engines. In order to verify the basic functionality of the proposed optimisation strategy, a genetic algorithm based, optimisation software was developed and tested on a number of analytical functions, selected from optimisation literature, with satisfactory results.
dc.identifierhttp://hdl.handle.net/20.500.11810/3187
dc.identifier.urihttp://hdl.handle.net/20.500.11810/3187
dc.languageen
dc.publisherTanzania Journal of Engineering and Technology
dc.subjectOptimisation
dc.subjectEngine noise
dc.subjectMulti-objective
dc.subjectMulti-domain
dc.subjectGenetic algorithm
dc.titleDevelopment of a Genetic Algorithm Based Search Strategy Suited For Design Optimisation of Internal Combustion Engines
dc.typeJournal Article, Peer Reviewed

Files

Collections

Department of Mechanical and Industrial Engineering