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Evolutionary and Heuristic Methods Applied to Problems in Optimal Control

In: Variational Analysis and Aerospace Engineering

Author

Listed:
  • Bruce A. Conway

    (306 Talbot Laboratory, University of Illinois)

Abstract

About two decades ago years researchers began to apply a new approach, using evolutionary algorithms or metaheuristics, to solve continuous optimal control problems. The evolutionary algorithms use the principle of “survival of the fittest” applied to a population of individuals representing candidate solutions for the optimal trajectories. Metaheuristics optimize by iteratively acting to improve candidate solutions, often using stochastic methods. Because of certain compromises that are usually necessary when transcribing the problem for solution by these methods it has been thought that they were not capable of yielding accurate solutions. However that is a misconception as is demonstrated by examples in this work.

Suggested Citation

  • Bruce A. Conway, 2016. "Evolutionary and Heuristic Methods Applied to Problems in Optimal Control," Springer Optimization and Its Applications, in: Aldo Frediani & Bijan Mohammadi & Olivier Pironneau & Vittorio Cipolla (ed.), Variational Analysis and Aerospace Engineering, pages 117-143, Springer.
    • Handle: RePEc:spr:spochp:978-3-319-45680-5_5
    DOI: 10.1007/978-3-319-45680-5_5
    as

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