The Hybrid Invasive Weed Optimization-Shuffled Frog-leaping Algorithm Applied to Optimal Design of Frame Structures

In this article, an efficient hybrid optimization algorithm based on invasive weed optimization algorithm and shuffled frog-leaping algorithm is utilized for optimum design of skeletal frame structures. The shuffled frog-leaping algorithm is a population-based cooperative search metaphor inspired by natural memetic, and the invasive weed optimization algorithm is an optimization method based on dynamic growth of weeds colony. In the proposed algorithm, shuffled frog-leaping algorithm works to find optimal solution region rapidly, and invasive weed optimization performs the global search. Different benchmark frame structures are optimized using the new hybrid algorithm. Three design examples are tested using the new method. This algorithm converges to better or at least the same solutions compared the utilized methods with a smaller number of analyses. The outcomes are compared to those obtained previously using other recently developed meta-heuristic optimization methods

Dynamic Water Strider Algorithm for Optimal Design of Skeletal Structures

In the present paper, a dynamic version of Water Strider Algorithm (WSA) is proposed. The WSA as well as the Dynamic Water Strider Algorithm (DWSA) are applied to minimize the weight of several skeletal structures. WSA is a nature-inspired metaheuristic that mimics the territorial behavior, intelligent ripple communication, mating style, feeding mechanisms, and succession of water strider insects. The efficiency of these algorithms is tested by optimizing different truss and frame structures subject to multiple loading conditions and constraints. Comparing the results obtained by DWSA with those of other methods it becomes evident that DWSA is a suitable technique for optimizing the structural design and minimizing the weight of structures while fulfilling all constraints

Form and Geometry in Decorative Tile Work in Khayyatha Mosque, Isfahan

Decoration has always had a pivotal role in Persian architecture. Since long time ago, for example, tile work has had a special place for most architects around the world especially Persian architects. Close examination of Persian tile work, in terms of form and geometric features, reveals the architects' mastery over this art, geometry as well as mathematics. The analyses of tile decorations and fretworks, formally and geometrically, may indicate that how the tile work accomplished structurally. One of the famous mosques in Isfahan enjoying a rich variety of tile work is Khayyatha Mosque. Examination of forms used in tile work in of the mosque revealed the geometric structures and proportions, the workforce needed and the number of tiles applied in each inscription based on specific colors. So far, little study has been carried on tile fretwork in terms of form. The present study examined, for the first time, the tile fretwork in Khayyatha Mosque. After introducing the mosque, the tile fretwork used in the mosque was studied and the patterns were analyzed mathematically. The methodology was mainly based on quantitative analyses using mathematical calculations as well as geometric drawings. The result indicated that the nature of form and geometric proportions of tile work has had a direct impact on the workforce needed and on the kinds of tiles applied. Also, the most frequently used tile works, in terms of form and pattern, were identified

Form and Geometry in Decorative Tile Work in Khayyatha Mosque, Isfahan

Decoration has always had a pivotal role in Persian architecture. Since long time ago, for example, tile work has had a special place for most architects around the world especially Persian architects. Close examination of Persian tile work, in terms of form and geometric features, reveals the architects' mastery over this art, geometry as well as mathematics. The analyses of tile decorations and fretworks, formally and geometrically, may indicate that how the tile work accomplished structurally. One of the famous mosques in Isfahan enjoying a rich variety of tile work is Khayyatha Mosque. Examination of forms used in tile work in of the mosque revealed the geometric structures and proportions, the workforce needed and the number of tiles applied in each inscription based on specific colors. So far, little study has been carried on tile fretwork in terms of form. The present study examined, for the first time, the tile fretwork in Khayyatha Mosque. After introducing the mosque, the tile fretwork used in the mosque was studied and the patterns were analyzed mathematically. The methodology was mainly based on quantitative analyses using mathematical calculations as well as geometric drawings. The result indicated that the nature of form and geometric proportions of tile work has had a direct impact on the workforce needed and on the kinds of tiles applied. Also, the most frequently used tile works, in terms of form and pattern, were identified

Form and Geometry in Decorative Tile Work in Khayyatha Mosque, Isfahan

Decoration has always had a pivotal role in Persian architecture. Since long time ago, for example, tile work has had a special place for most architects around the world especially Persian architects. Close examination of Persian tile work, in terms of form and geometric features, reveals the architects' mastery over this art, geometry as well as mathematics. The analyses of tile decorations and fretworks, formally and geometrically, may indicate that how the tile work accomplished structurally. One of the famous mosques in Isfahan enjoying a rich variety of tile work is Khayyatha Mosque. Examination of forms used in tile work in of the mosque revealed the geometric structures and proportions, the workforce needed and the number of tiles applied in each inscription based on specific colors. So far, little study has been carried on tile fretwork in terms of form. The present study examined, for the first time, the tile fretwork in Khayyatha Mosque. After introducing the mosque, the tile fretwork used in the mosque was studied and the patterns were analyzed mathematically. The methodology was mainly based on quantitative analyses using mathematical calculations as well as geometric drawings. The result indicated that the nature of form and geometric proportions of tile work has had a direct impact on the workforce needed and on the kinds of tiles applied. Also, the most frequently used tile works, in terms of form and pattern, were identified

Improving Diagnostics with Deep Forest Applied to Electronic Health Records

An electronic health record (EHR) is a vital high-dimensional part of medical concepts. Discovering implicit correlations in the information of this data set and the research and informative aspects can improve the treatment and management process. The challenge of concern is the data sources’ limitations in finding a stable model to relate medical concepts and use these existing connections. This paper presents Patient Forest, a novel end-to-end approach for learning patient representations from tree-structured data for readmission and mortality prediction tasks. By leveraging statistical features, the proposed model is able to provide an accurate and reliable classifier for predicting readmission and mortality. Experiments on MIMIC-III and eICU datasets demonstrate Patient Forest outperforms existing machine learning models, especially when the training data are limited. Additionally, a qualitative evaluation of Patient Forest is conducted by visualising the learnt representations in 2D space using the t-SNE, which further confirms the effectiveness of the proposed model in learning EHR representations

Dynamic arithmetic optimization algorithm for truss optimization under natural frequency constraints

Metaheuristic algorithms have successfully been used to solve any type of optimization problem in the field of structural engineering. The newly proposed Arithmetic Optimization Algorithm (AOA) has recently been presented for mathematical problems. The AOA is a metaheuristic that uses the main arithmetic operators' distribution behavior, such as multiplication, division, subtraction, and addition in mathematics. In this paper, a dynamic version of the arithmetic optimization algorithm (DAOA) is presented. During an optimization process, a new candidate solution change to regulate exploration and exploitation in a dynamic version in each iteration. The most remarkable attribute of DAOA is that it does not need to make any effort to preliminary fine-tuning parameters relative to the most present metaheuristic. Also, the new accelerator functions are added for a better search phase. To evaluate the performance of both the AOA and its dynamic version, minimizing the weight of several truss structures under frequency bound is tested. These algorithms ' efficiency is obtained by five classical engineering problems and optimizing different truss structures under various loading conditions and limitations.Web of Science10162081618

Multi-Objective Crystal Structure Algorithm (MOCryStAl): Introduction and Performance Evaluation

In many optimization problems, the main goal is to improve a single performance index in which a minimum or maximum value of this index fully reflects the quality of the response obtained from a system. However, in some cases, it is impossible to rely solely on a single index, so a multi-objective optimization problem with multiple performance indicators is considered where the values of all of them should be optimized simultaneously. The mentioned process requires a multi-objective optimization algorithm that can deal with the complexity of problems with simultaneous indexes. This paper presents the multi-objective version of a recently proposed metaheuristic algorithm called Crystal Structure Algorithm (CryStAl) which was inspired by the principles underlying the formation crystal structures. For the performance evaluation of this algorithm which is called MOCryStAl, the benchmark problems of the Completions on Evolutionary Computation (CEC) on multi-objective optimization, called CEC-09, are utilized. Some real-world engineering design problems are used to evaluate the efficiency of the proposed approach. The results demonstrate that the proposed methods can provide excellent results in dealing with the considered multi-objective problems

Optimizing Truss Structures Using Composite Materials under Natural Frequency Constraints with a New Hybrid Algorithm Based on Cuckoo Search and Stochastic Paint Optimizer (CSSPO)

This article highlights the absence of published paradigms hybridized by The Cuckoo Search (CS) and Stochastic Paint Optimizer (SPO) for optimizing truss structures using composite materials under natural frequency constraints. The article proposes a novel optimization algorithm called CSSPO for optimizing truss structures made of composite materials, known as fiber-reinforced polymer (FRP) composites, to address this gap. Optimization problems of truss structures under frequency constraints are recognized as challenging due to their non-linear and non-convex search spaces that contain numerous local optima. The proposed methodology produces high-quality optimal solutions with less computational effort than the original methods. The aim of this work is to compare the performance of carbon FRP (CFRP), glass FRP (GFRP), and steel using a novel hybrid algorithm to provide valuable insights and inform decision-making processes in material selection and design. Four benchmark structure trusses with natural frequency constraints were utilized to demonstrate the efficiency and robustness of the CSSPO. The numerical analysis findings indicate that the CSSPO outperforms the classical SPO and exhibits comparable or superior performance when compared to the SPO. The study highlights that implementing CFRP and GFRP composites in truss construction leads to a notable reduction in weight compared to using steel