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

Vasile, M. and Zuiani, F. (2011) Multi-agent collaborative search : an agent-based memetic multi-objective optimization algorithm applied to space trajectory design. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 225 (11). pp. 1211-1227. ISSN 0954-4100

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Abstract

This article presents an algorithm for multi-objective 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 neighbourhood 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 multi-objective optimization algorithms that use the Pareto dominance as selection criterion: non-dominated sorting genetic algorithm (NSGA-II), Pareto archived evolution strategy (PAES), multiple objective particle swarm optimization (MOPSO), and multiple trajectory search (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
Depositing user: Pure Administrator
Date Deposited: 31 Oct 2011 12:49
Last modified: 01 Sep 2015 07:52
URI: http://strathprints.strath.ac.uk/id/eprint/35427

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