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Erschienen in:
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2016 | OriginalPaper | Buchkapitel

Evolutionary and Heuristic Methods Applied to Problems in Optimal Control

verfasst von : Bruce A. Conway

Erschienen in: Variational Analysis and Aerospace Engineering

Verlag: Springer International Publishing

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Abstract

About two decades ago years researchers began to apply a new approach, using evolutionary algorithms or metaheuristics, to solve continuous optimal control problems. The evolutionary algorithms use the principle of “survival of the fittest” applied to a population of individuals representing candidate solutions for the optimal trajectories. Metaheuristics optimize by iteratively acting to improve candidate solutions, often using stochastic methods. Because of certain compromises that are usually necessary when transcribing the problem for solution by these methods it has been thought that they were not capable of yielding accurate solutions. However that is a misconception as is demonstrated by examples in this work.

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Vorheriges Kapitel HyPSim: A Simulation Tool for Hybrid Aircraft Performance Analysis
Nächstes Kapitel Composite Thin-Walled Beams by Γ-Convergence: From Theory to Application
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Metadaten
Titel
Evolutionary and Heuristic Methods Applied to Problems in Optimal Control
verfasst von
Bruce A. Conway
Copyright-Jahr
2016
Buch
Variational Analysis and Aerospace Engineering

Print ISBN: 978-3-319-45679-9

Electronic ISBN: 978-3-319-45680-5

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-45680-5_5

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