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Showing papers on "Multi-swarm optimization published in 1988"



Book
11 Sep 1988

48 citations



Proceedings ArticleDOI
15 Jun 1988
TL;DR: This study applies a single run optimization algorithm to a simple optimization problem related to an autoregressive process of order one and shows that the algorithm converges to the true optimum with probability one.
Abstract: Conventional methods for simulation optimization may require a large number of simulation runs and are thus computationally expensive. To reduce computational effort, we have previously conducted experimental investigations of single run optimization algorithms which estimate the optimum in a single simulation run. Our earlier studies for queueing systems have focused on empirical results. In this study, we apply a single run optimization algorithm to a simple optimization problem related to an autoregressive process of order one. It is shown that the algorithm converges to the true optimum with probability one. This provides a first step towards analytical understanding of such single run simulation optimization algorithms.

3 citations



Proceedings ArticleDOI
15 Jun 1988
TL;DR: In this paper, a parameter optimization technique is applied to the optimization of the thrust history of a continuously variable thrust rocket in horizontal lifting flight, and the optimal control problem is then approximated by a problem which is solved using a quasi-Newton method with constraint projection.
Abstract: A parameter optimization technique is applied to the optimization of the thrust history for missiles. The problem considered is that of determining the thrust history which maximizes the range of a continuously-variable thrust rocket in horizontal lifting flight. The optimal-control solution for this problem is developed. The optimal-control problem is then approximated by a parameter optimization problem which is solved using a quasi-Newton method with constraint projection. The two solutions compare well. This result allows confidence in the use of the parameter optimization technique to solve optimization problems in flight mechanics for which no analytical optimal-control solutions exist. The results demonstrate the need for a thorough understanding of the optimal control when designing the control parameterization scheme.