Topic
Minimum weight
About: Minimum weight is a research topic. Over the lifetime, 2002 publications have been published within this topic receiving 28244 citations.
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TL;DR: Harmony search method based optimum design algorithm is presented for the steel sway frames in this paper, the combined strength constraints considered for a beam-column take into account the lateral torsional buckling of the member.
160 citations
TL;DR: This paper explores the feasibility of defining a so-called global constraint, which basic aim is to limit the maximum stress simultaneously within all the structure by means of one single inequality, and compares the performance of these three approaches by solving several topology optimization problems.
157 citations
Proceedings Article•
01 Jan 2005
TL;DR: WFIM generates more concise and important weighted frequent itemsets in large databases, particularly dense databases with low minimum support, by adjusting a minimum weight and a weight range.
Abstract: Researchers have proposed weighted frequent itemset mining algorithms that reflect the importance of items. The main focus of weighted frequent itemset mining concerns satisfying the downward closure property. All weighted association rule mining algorithms suggested so far have been based on the Apriori algorithm. However, pattern growth algorithms are more efficient than Apriori based algorithms. Our main approach is to push the weight constraints into the pattern growth algorithm while maintaining the downward closure property. In this paper, a weight range and a minimum weight constraint are defined and items are given different weights within the weight range. The weight and support of each item are considered separately for pruning the search space. The number of weighted frequent itemsets can be reduced by setting a weight range and a minimum weight, allowing the user to balance support and weight of itemsets. WFIM generates more concise and important weighted frequent itemsets in large databases, particularly dense databases with low minimum support, by adjusting a minimum weight and a weight range.
152 citations
TL;DR: Two advanced optimization algorithms known as particle swarm optimization (PSO) and simulated annealing (SA) are presented to find the optimal combination of design parameters for minimum weight of a spur gear train.
152 citations
TL;DR: In this article, the authors present a methodology for designing any two-dimensional array of laminated composite panels with varying loads such that continuity of some or all of the plies is maintained across adjacent panels.
148 citations