Orbit transfer maneouvres as a test benchmark for comparison metrics of evolutionary algorithms

Edmondo Minisci; Giulio Avanzini

doi:10.1109/CEC.2009.4982968

Orbit transfer maneouvres as a test benchmark for comparison metrics of evolutionary algorithms

Edmondo Minisci, Giulio Avanzini

Mechanical And Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed)

9 Citations (Scopus)

118 Downloads (Pure)

Abstract

In the present paper some metrics for evaluating the performance of evolutionary algorithms are considered. The capabilities of two different optimisation approaches are compared on three test cases, represented by the optimisation
of orbital transfer trajectories. The complexity of the problem of ranking stochastic algorithms by means of quantitative indices is analyzed by means of a large sample of runs, so as to derive statistical properties of the indices in order to evaluate their usefulness in understanding the actual algorithm capabilities
and their possible intrinsic limitations in providing reliable information.

Original language	English
Title of host publication	IEEE Congress on Evolutionary Computation
Publisher	IEEE
Pages	350-357
Volume	1-5
DOIs	https://doi.org/10.1109/CEC.2009.4982968
Publication status	Published - 18 May 2009
Event	IEEE Congress on Evolutionary Computation - Trondheim, Norway Duration: 18 May 2009 → 21 May 2009

Publication series

Name	IEEE Congress on Evolutionary Computation

Conference

Conference	IEEE Congress on Evolutionary Computation
Country/Territory	Norway
City	Trondheim
Period	18/05/09 → 21/05/09

Keywords

evolutionary algorithms
orbital transfer trajectories
orbit transfer manoeuvres

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10.1109/CEC.2009.4982968

Minisci E Pure Orbit transfer manoeuvres as a test benchmark for comparison metrics of evolutionary algorithms 2009Submitted manuscript, 1.7 MB

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abstract = "In the present paper some metrics for evaluating the performance of evolutionary algorithms are considered. The capabilities of two different optimisation approaches are compared on three test cases, represented by the optimisation of orbital transfer trajectories. The complexity of the problem of ranking stochastic algorithms by means of quantitative indices is analyzed by means of a large sample of runs, so as to derive statistical properties of the indices in order to evaluate their usefulness in understanding the actual algorithm capabilities and their possible intrinsic limitations in providing reliable information. ",

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AU - Avanzini, Giulio

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N2 - In the present paper some metrics for evaluating the performance of evolutionary algorithms are considered. The capabilities of two different optimisation approaches are compared on three test cases, represented by the optimisation of orbital transfer trajectories. The complexity of the problem of ranking stochastic algorithms by means of quantitative indices is analyzed by means of a large sample of runs, so as to derive statistical properties of the indices in order to evaluate their usefulness in understanding the actual algorithm capabilities and their possible intrinsic limitations in providing reliable information.

AB - In the present paper some metrics for evaluating the performance of evolutionary algorithms are considered. The capabilities of two different optimisation approaches are compared on three test cases, represented by the optimisation of orbital transfer trajectories. The complexity of the problem of ranking stochastic algorithms by means of quantitative indices is analyzed by means of a large sample of runs, so as to derive statistical properties of the indices in order to evaluate their usefulness in understanding the actual algorithm capabilities and their possible intrinsic limitations in providing reliable information.

KW - evolutionary algorithms

KW - orbital transfer trajectories

KW - orbit transfer manoeuvres

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M3 - Chapter (peer-reviewed)

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Y2 - 18 May 2009 through 21 May 2009

ER -

Orbit transfer maneouvres as a test benchmark for comparison metrics of evolutionary algorithms

Abstract

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Keywords

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