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Multi-agent collaborative search: an agent-based memetic multi-objective optimization algorithm applied to space trajectory design

Vasile, Massimiliano and Zuiani, Federico (2011) Multi-agent collaborative search: an agent-based memetic multi-objective optimization algorithm applied to space trajectory design. Journal of Aerospace Engineering, 225 (11). pp. 1211-1227. ISSN 0893-1321

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      Abstract

      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 a combination of a local and global archive. The novel agent-based algorithm is tested at first on a set of standard problems and then on three specific problems in space trajectory design. Its performance is compared against a number of state-of-the-art multiobjective optimisation algorithms that use the Pareto dominance as selection criterion: NSGA-II, PAES, MOPSO, MTS. The results demonstrate that the agent-based search can identify parts of the Pareto set that the other algorithms were not able to capture. Furthermore, convergence is statistically better although the variance of the results is in some cases higher.

      Item type: Article
      ID code: 35427
      Keywords: multiobjective optimization, agent-based approach , trajectory optimisation, Mechanical engineering and machinery, Motor vehicles. Aeronautics. Astronautics, Mechanical Engineering, Aerospace Engineering, Control and Systems Engineering, Computational Mechanics, Control and Optimization
      Subjects: Technology > Mechanical engineering and machinery
      Technology > Motor vehicles. Aeronautics. Astronautics
      Department: Faculty of Engineering > Mechanical and Aerospace Engineering
      Technology and Innovation Centre > Advanced Engineering and Manufacturing
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        Depositing user: Pure Administrator
        Date Deposited: 31 Oct 2011 12:49
        Last modified: 26 Sep 2014 00:02
        URI: http://strathprints.strath.ac.uk/id/eprint/35427

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