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

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,...

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Veröffentlicht in:	IEEE transactions on evolutionary computation Jg. 19; H. 5; S. 609 - 629
Hauptverfasser:	Tayarani-N., Mohammad-H., Yao, Xin, Xu, Hongming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2015 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Calibration Control systems Engines Evolution Fault diagnosis Fuels Genetic algorithms Heuristic Optimization Timing multiobjective optimization fault diagnosis meta-heuristic algorithms engine management systems evolutionary algorithms (EAs) Control system engine calibration memetic algorithms
ISSN:	1089-778X, 1941-0026
Online-Zugang:	Volltext
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