A controller for improving lateral stability in a dynamically stable gait

Zhenglong Sun, Nico Roos

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

Abstract

Due to the technological advances in computer hardware and software tools, structural optimization has been gaining continuously increasing interest over the last two decades. The purpose of the present work is to quantitatively compare three metaheuristic optimization algorithms, namely the Differential Evolution, Harmony Search and Particle Swarm Optimization methods, in the framework of structural optimization. The comparison of the optimizers is performed with reference to their efficiency (overall computing demands) and robustness (capability to detect near-optimal solutions). The optimum design of a real-world overhead traveling crane is used as the test bed application for conducting optimization test runs. © 2010 IFIP.
Original languageEnglish
Title of host publicationIFIP Advances in Information and Communication Technology
PublisherSpringer Verlag
Pages371-383
Number of pages13
ISBN (Print)9783319449432
DOIs
Publication statusPublished - 2016

Publication series

SeriesIFIP Advances in Information and Communication Technology
Volume475

Cite this

Sun, Z., & Roos, N. (2016). A controller for improving lateral stability in a dynamically stable gait. In IFIP Advances in Information and Communication Technology (pp. 371-383). Springer Verlag. IFIP Advances in Information and Communication Technology, Vol.. 475 https://doi.org/10.1007/978-3-319-44944-9_32