Hybrid behavioural-based multi-objective space trajectory optimization

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In this chapter we present a hybridization of a stochastic based search approach for multi-objective optimization with a deterministic domain decomposition of the solution space. Prior to the presentation of the algorithm we introduce a general formulation of the optimization problem that is suitable to describe both single and multi-objective problems. The stochastic approach, based on behaviorism, combinedwith the decomposition of the solutions pace was tested on a set of standard multi-objective optimization problems and on a simple but representative case of space trajectory design.
Original languageEnglish
Title of host publicationMulti-Objective Memetic Algorithms
Publication statusPublished - 2009

Publication series

NameStudies in Computational Intelligence
PublisherSpringer Berlin Heidelberg
ISSN (Print)1960-949X


  • global optimization
  • genetic algorithm
  • space trajectory design
  • multi-objective optimization

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    Vasile, M. (2009). Hybrid behavioural-based multi-objective space trajectory optimization. In Multi-Objective Memetic Algorithms (Vol. 171, pp. 231-253). (Studies in Computational Intelligence; Vol. 171). https://doi.org/10.1007/978-3-540-88051-6