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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/1301 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/1301 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/1301 archive 351 disk0/00/00/12/88 2016-01-15 01:47:27 2021-08-27 17:09:42 2016-01-15 01:47:27 monograph show 3 Wierzbicki A.P. 7380 pub iis_mod iis_met prog_sds The typical formulation of an optimal control or dynamic optimization problem is to optimize a scalar performance functional; less frequently, also vectors of performance functionals are considered in multiobjective optimization. However, there are practical problems -- mostly related to the use of dynamic control models in economic planning -- where the objectives are stated in terms of desirable trajectories. If the goal would be to approximate the desired trajectory from both sides, then the problem could be equivalently stated as a typical approximation problem. However, in many cases the desired trajectories have the meaning of aspiration levels: if possible, they should be exceeded. The paper presents a mathematical formulation of a multiobjective trajectory optimization problem, various theoretical approaches to this problem -- including interpretations as a generalized Lagrangian functional approach and as a semi-regularization procedure for ill-posed problems, a review of possible computational approaches and examples of actual computations. 1980-12 published WP-80-181 WP-80-181 1663 public working_paper IIASA, Laxenburg, Austria 41 FALSE info:eu-repo/semantics/book