Vasile, Massimiliano (2009) Hybrid behavioural-based multi-objective space trajectory optimization. In: Multi-Objective Memetic Algorithms. Studies in Computational Intelligence, 171 . Springer Berlin Heidelberg, pp. 231-253. ISBN 978-3-540-88050-9
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.
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