Meta-heuristic global optimization algorithms for aircraft engines modelling and controller design; A review, research challenges, and exploring the future-Reference-Cited by-同舟云学术

Meta-heuristic global optimization algorithms for aircraft engines modelling and controller design; A review, research challenges, and exploring the future

Published:2019-01 Issue: Volume:104 Page:40-53
ISSN:0376-0421
Container-title:Progress in Aerospace Sciences
language:en
Short-container-title:Progress in Aerospace Sciences

Author:

Jafari S.^ORCID,Nikolaidis T.^ORCID

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Aerospace Engineering

Reference90 articles.

1. Gas Turbine Engine Controller Design Using Multi-objective Optimization Algorithms;Hancock,1992

2. Genetic algorithms for multi-objective optimization: formulation discussion and generalization;Fonseca,1993

3. Evolutionary optimization for gain tuning of jet engine min-max fuel controller;Jafari;J. Propul. Power,2011

4. Application of particle swarm optimization in gain tuning of integrated flight and propulsion control;Montazeri-Gh;Int. J. Aero. Sci.,2013

Cited by 48 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fast uncertainty assessment of in-service thrust control for turbofan engines: An equivalent model using Taylor expansion;Energy;2024-11

2. Robust acceleration schedule design for gas turbine engine using multilayer perceptron network with adaptive sample class weighting;Aerospace Science and Technology;2024-11

3. Ameliorated Golden jackal optimization (AGJO) with enhanced movement and multi-angle position updating strategy for solving engineering problems;Advances in Engineering Software;2024-08

4. A Novel Metaheuristic Approach: Spiral Cloud Optimization Algorithm;2024-07-24

5. Evolutionary Computation in bioinformatics: A survey;Neurocomputing;2024-07