A hybrid multiobjective optimization algorithm applied to space trajectory optimization

A hybrid multiobjective optimization algorithm applied to space trajectory optimization

This paper presents an algorithm for multiobjective optimization that blends together a number of heuristics. A population of agents combines heuristics that aim at exploring the search space both globally and in a neighborhood of each agent. These heuristics are complemented with two restart mechan...

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Hauptverfasser: Vasile, Massimiliano, Zuiani, Federico
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Sprache:eng
Schlagworte:
Collaboration
Extrapolation
Indexes
Optimization
Orbits
Space missions
Trajectory
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Zuiani, Federico
description This paper presents an algorithm for multiobjective optimization that blends together a number of heuristics. A population of agents combines heuristics that aim at exploring the search space both globally and in a neighborhood of each agent. These heuristics are complemented with two restart mechanisms and a combination of a local and global archive. The hybrid algorithm is tested at first on a set of standard problems and then on three specific problems in space trajectory design. The performance of the proposed hybrid algorithm is compared against NSGA-II.
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subjects Collaboration
Extrapolation
Indexes
Optimization
Orbits
Space missions
Trajectory
title A hybrid multiobjective optimization algorithm applied to space trajectory optimization
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