A Survey of Methods Available for the Numerical Optimization of Continuous Dynamic Systems |
| |
Authors: | Bruce A Conway |
| |
Institution: | 1.Dept. of Aerospace Engineering, 306 Talbot Laboratory,University of Illinois,Urbana,USA |
| |
Abstract: | There has been significant progress in the development of numerical methods for the determination of optimal trajectories
for continuous dynamic systems, especially in the last 20 years. In the 1980s, the principal contribution was new methods
for discretizing the continuous system and converting the optimization problem into a nonlinear programming problem. This
has been a successful approach that has yielded optimal trajectories for very sophisticated problems. In the last 15–20 years,
researchers have applied a qualitatively different approach, using evolutionary algorithms or metaheuristics, to solve similar
parameter optimization problems. 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. In this paper, the advantages and disadvantages of these recently
developed methods are described and an attempt is made to answer the question of what is now the best extant numerical solution
method. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|