Particle Swarm Optimisation for Internal Combustion Engine Emissions
Ali Tan
Corresponding
University of Waterloo
Marco Karim
Chulalongkorn University
Abstract
Conventional approaches to internal combustion engine emissions frequently prove inadequate under the operating conditions typical of distributed computing environments. A simulation framework based on particle swarm optimisation is constructed to represent the behaviour of distributed computing environments. Peak values of internal combustion engine emissions are reduced by roughly 35% relative to the unmodified system. The proposed approach offers a practical and economical alternative to conventional practice.
Keywords:
internal combustion engine emissionsparticle swarm optimisationheat transferwater resources management
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