HSRNAFold: A harmony search algorithm for RNA secondary structure prediction based on minimum free energy

Mohsen, Abdulqader M.; Khader, Ahamad Tajudin; Ramachandram, Dhanesh

doi:10.1109/innovations.2008.4781694

Cited by 6 publications

(1 citation statement)

References 18 publications

(25 reference statements)

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“…Among the metaheuristic optimization algorithms applied to structural optimization, the harmony search algorithm stands out as one of the most widely used techniques. Besides structural optimization, the harmony search technique has been applied to various areas of science and engineering such as transportation engineering [ 36 , 37 , 38 , 39 ], environmental engineering [ 40 , 41 ], healthcare systems [ 42 ], bioinformatics [ 43 , 44 , 45 ], and cloud computing [ 46 ].…”

Section: Introductionmentioning

confidence: 99%

Optimization and Predictive Modeling of Reinforced Concrete Circular Columns

et al. 2022

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Metaheuristic optimization techniques are widely applied in the optimal design of structural members. This paper presents the application of the harmony search algorithm to the optimal dimensioning of reinforced concrete circular columns. For the objective of optimization, the total cost of steel and concrete associated with the construction process were selected. The selected variables of optimization include the diameter of the column, the total cross-sectional area of steel, the unit costs of steel and concrete used in the construction, the total length of the column, and applied axial force and the bending moment acting on the column. By using the minimum allowable dimensions as the constraints of optimization, 3125 different data samples were generated where each data sample is an optimal design configuration. Based on the generated dataset, the SHapley Additive exPlanations (SHAP) algorithm was applied in combination with ensemble learning predictive models to determine the impact of each design variable on the model predictions. The relationships between the design variables and the objective function were visualized using the design of experiments methodology. Applying state-of-the-art statistical accuracy measures such as the coefficient of determination, the predictive models were demonstrated to be highly accurate. The current study demonstrates a novel technique for generating large datasets for the development of data-driven machine learning models. This new methodology can enhance the availability of large datasets, thereby facilitating the application of high-performance machine learning predictive models for optimal structural design.

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Section: Introductionmentioning

confidence: 99%

Optimization and Predictive Modeling of Reinforced Concrete Circular Columns

et al. 2022

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Introduction

Maiti

Sharma

Sarkar

2022

Studies in Systems, Decision and Control

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Comprehensive Review of the Development of the Harmony Search Algorithm and its Applications

2019

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This paper presents a comprehensive overview of the development of the harmony search (HS) algorithm and its applications. HS is a well-known human-based meta-heuristic algorithm that mimics the process of creating a new harmony in music. This algorithm can be applied to different fields of research, owing to its ability to balance between exploitation (i.e., searching around the known best) and exploration (i.e., roaming the entire search space). Thus, numerous studies have been conducted to utilize HS in real-world optimization problems, and many variants and hybrid algorithms of HS have been developed to cope with different problems. In this paper, HS and its variants are reviewed from various aspects. First, we describe the HS algorithm and present how its parameters affect algorithm performance. Second, we describe HS classifications based on the well-known HS variants and hybrid algorithms, along with their applications. Finally, a discussion conducted on the strengths and weaknesses of the HS algorithm and the possibilities for its improvement. Focusing on related work from diverse fields (such as optimization, engineering, computer science, biology, and medicine), this paper can foster interests on the application of HS for multidisciplinary audiences.

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HSRNAFold: A harmony search algorithm for RNA secondary structure prediction based on minimum free energy

Cited by 6 publications

References 18 publications

Optimization and Predictive Modeling of Reinforced Concrete Circular Columns

Optimization and Predictive Modeling of Reinforced Concrete Circular Columns

Introduction

Comprehensive Review of the Development of the Harmony Search Algorithm and its Applications

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