A Method for Improving Radiated Emission of Automotive Spark-Ignition System with Improved Micro-Genetic Algorithm

Qin, Yanming; Li, Bin; Liu, Qingsong; Xu, Xiangling; Jian-peng, Zhai

doi:10.1007/978-3-642-33829-8_52

Cited by 2 publications

(1 citation statement)

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“…1) Emission in Gasoline Engines: Undesired generation of radiated or conducted energy in electrical systems is called electromagnetic interference (EMI). A new meta-heuristic algorithm for optimizing the emissions of an automobile SI engine was proposed in [123]. The method used EMI simulation models and a micro-genetic algorithm to optimize the parameters and variables of an engine.…”

Section: A Emission and Fuel Consumptionmentioning

confidence: 99%

Meta-Heuristic Algorithms in Car Engine Design: A Literature Survey

Tayarani-N.

Yao

2015

IEEE Trans. Evol. Computat.

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Meta-heuristic algorithms are often inspired by natural phenomena, including the evolution of species in Darwinian natural selection theory, ant behaviors in biology, flock behaviors of some birds, and annealing in metallurgy. Due to their great potential in solving difficult optimization problems, metaheuristic algorithms have found their way into automobile engine design. There are different optimization problems arising in different areas of car engine management including calibration, control system, fault diagnosis, and modeling. In this paper we review the state-of-the-art applications of different meta-heuristic algorithms in engine management systems. The review covers a wide range of research, including the application of meta-heuristic algorithms in engine calibration, optimizing engine control systems, engine fault diagnosis, and optimizing different parts of engines and modeling. The metaheuristic algorithms reviewed in this paper include evolutionary algorithms, evolution strategy, evolutionary programming, genetic programming, differential evolution, estimation of distribution algorithm, ant colony optimization, particle swarm optimization, memetic algorithms, and artificial immune system.

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Section: A Emission and Fuel Consumptionmentioning

confidence: 99%