Approximation-based global optimization strategy for structural synthesis

Autor:	Lucien A. Schmit, Abdon E. Sepulveda
Rok vydání:	1993
Předmět:	Continuous optimization Vector optimization Mathematical optimization Optimization problem Branch and bound Discrete optimization Test functions for optimization Aerospace Engineering Multi-swarm optimization Global optimization Algorithm Mathematics
Zdroj:	AIAA Journal. 31:180-188
ISSN:	1533-385X 0001-1452
DOI:	10.2514/3.11335
Popis:	A global optimization strategy for structural synthesis based on approximation concepts is presented. The methodology involves the solution of a sequence of highly accurate approximate problems using a global optimization algorithm. The global optimization algorithm implemented consists of a branch and bound strategy based on the interval evaluation of the objective function and constraint functions, combined with a local feasible directions algorithm. The approximate design optimization problems are constructed using first order approximations of selected intermediate response quantities in terms of intermediate design variables. Some numerical results for example problems are presented to illustrate the efficacy of the design procedure setforth.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0a0a2d2458563c9b8d3afd3ae7808d0b https://doi.org/10.2514/3.11335 Zobrazit plný text záznamu