TY  - JOUR
AU  - Tan, Ali
AU  - Karim, Marco
TI  - Particle Swarm Optimisation for Internal Combustion Engine Emissions
JO  - Open Access Journal of Engineering Applications
PY  - 2011
VL  - 35
IS  - 1
SP  - 486
EP  - 501
AB  - 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.
KW  - internal combustion engine emissions
KW  - particle swarm optimisation
KW  - heat transfer
KW  - water resources management
SN  - 3105-7004
DO  - 10.55555/oajea.2011.3501.026
UR  - https://journal.bsaps.com/article/8793
ER  -