An inflationary differential evolution algorithm for space trajectory optimization
Vasile, Massimiliano and Minisci, Edmondo and Locatelli, Marco (2011) An inflationary differential evolution algorithm for space trajectory optimization. IEEE Transactions on Evolutionary Computation, 15 (2). pp. 267-281. ISSN 1089-778X (https://doi.org/10.1109/TEVC.2010.2087026)
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Abstract
In this paper we define a discrete dynamical system that governs the evolution of a population of agents. From the dynamical system, a variant of Differential Evolution is derived. It is then demonstrated that, under some assumptions on the differential mutation strategy and on the local structure of the objective function, the proposed dynamical system has fixed points towards which it converges with probability one for an infinite number of generations. This property is used to derive an algorithm that performs better than standard Differential Evolution on some space trajectory optimization problems. The novel algorithm is then extended with a guided restart procedure that further increases the performance, reducing the probability of stagnation in deceptive local minima.
ORCID iDs
Vasile, Massimiliano ORCID: https://orcid.org/0000-0001-8302-6465, Minisci, Edmondo ORCID: https://orcid.org/0000-0001-9951-8528 and Locatelli, Marco;-
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Item type: Article ID code: 29017 Dates: DateEventApril 2011Published13 January 2011Published OnlineSubjects: Technology > Mechanical engineering and machinery
Technology > Motor vehicles. Aeronautics. Astronautics
Science > MathematicsDepartment: Faculty of Engineering > Mechanical and Aerospace Engineering
Technology and Innovation Centre > Advanced Engineering and ManufacturingDepositing user: Pure Administrator Date deposited: 07 Mar 2011 23:23 Last modified: 30 Aug 2024 20:51 URI: https://strathprints.strath.ac.uk/id/eprint/29017