Adaptive Harmony Search Algorithm for Design Code Optimization of Steel Structures



Adaptive Harmony Search Algorithm for Design Code Optimization of Steel Structures
Saka, M. P.; Hasançebi, Oğuzhan (2009-01-01)
In this chapter an improved version of harmony search algorithm called an adaptive harmony search algorithm is presented. The harmony memory considering rate and pitch adjusting rate are conceived as the two main parameters of the technique for generating new solution vectors. In the standard implementation of the technique, appropriate constant values are assigned to these parameters following a sensitivity analysis for each problem considered. The success of the optimization process is directly related to...
Adaptive estimation of autoregression models under long-tailed symmetric distribution
Yentür, Begüm; Akkaya, Ayşen; Bayrak, Özlem Türker (2022-01-01)
© 2022 Taylor & Francis Group, LLC.Non-normal innovations in autoregression models frequently occur in practice. In this situation, least squares (LS) estimators are known to be inefficient and non-robust, and maximum likelihood (ML) estimators need to be solved numerically, which becomes a daunting task. In the literature, the modified maximum likelihood (MML) estimation technique has been proposed to obtain the estimators of model parameters. While an explicit solution can be found via this method, the re...
Adaptive time-to-live strategies for query result caching in web search engines
Alici, Sadiye; Altıngövde, İsmail Sengör; Ozcan, Rifat; Barla Cambazoglu, B.; Ulusoy, Özgür (2012-04-27)
An important research problem that has recently started to receive attention is the freshness issue in search engine result caches. In the current techniques in literature, the cached search result pages are associated with a fixed time-to-live (TTL) value in order to bound the staleness of search results presented to the users, potentially as part of a more complex cache refresh or invalidation mechanism. In this paper, we propose techniques where the TTL values are set in an adaptive manner, on a per-quer...
Adaptive evolution strategies in structural optimization: Enhancing their computational performance with applications to large-scale structures
Hasançebi, Oğuzhan (2008-01-01)
In this study the computational performance of adaptive evolution strategies (ESs) in large-scale structural optimization is mainly investigated to achieve the following objectives: (i) to present an ESs based solution algorithm for efficient optimum design of large structural systems consisting of continuous, discrete and mixed design variables; (ii) to integrate new parameters and methodologies into adaptive ESs to improve the computational performance of the algorithm; and (iii) to assess successful self...
Adaptive estimation of autoregressive models under long-tailed symmetric distribution
Yentür, Begüm; Bayrak, Özlem Türker; Akkaya, Ayşen (2019-07-08)
In this paper, we consider the autoregressive models where the error term is non-normal; specifically belongs to a long-tailed symmetric distribution family since it is more relevant in practice than the normal distribution. It is known that least squares (LS) estimators are neither efficient nor robust under non-normality and maximum likelihood (ML) estimators cannot be obtained explicitly and require a numerical solution which might be problematic. In recent years, modified maximum likelihood (MML) estima...
Citation Formats
O. Hasançebi, Adaptive Harmony Search Algorithm for Design Code Optimization of Steel Structures. 2009, p. 120.