Structural Design Optimization of All-Steel Buckling-Restrained Braces Using Intelligent Optimizers

Hoseini, Seyed Mohamad; Parastesh, Hossein; Hajirasouliha, Iman; Ferdowsi, Ahmad

doi:10.1007/s13296-021-00553-3

Cited by 6 publications

(1 citation statement)

References 51 publications

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“…(1) The application of AI in middle school English teaching needs to pay attention to both "teaching" and learning". In terms of technology, it should improve the simulation of English Learning environment, improve human-computer interaction and the intelligence of human-computer interface, provide adaptive learning according to the differences of each student, and at the same time be good at playing the guiding role of teachers, focusing on cultivating students' autonomous learning ability [4] [11].…”

Section: Countermeasures To Face the Problemmentioning

confidence: 99%

Optimal Processing of English Education Model Based on Artificial Intelligence Technology

Zhang¹

2023

Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)

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With the rapid development of science and technology, the society has entered a new era of knowledge and information. Modern information teaching has changed the traditional curriculum concept, improved the curriculum model and improved the teaching method in the curriculum field. This paper studies the optimization of English education mode based on artificial intelligence technology, mainly using SAIES system, so that middle school students are placed in an intelligent environment. The practice of SAIES system in middle school English teaching can be divided into six steps. The teaching process of SAIES system consists of ten steps. Finally, the reliability and validity of the system are tested. The results show that the overall reliability of the learning adaptability level questionnaire is 0.913, and the reliability of the system is very good.

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Section: Countermeasures To Face the Problemmentioning

confidence: 99%

Optimal Processing of English Education Model Based on Artificial Intelligence Technology

Zhang¹

2023

Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)

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Socio-inspired evolutionary algorithms: a unified framework and survey

2023

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Evolutionary computation has gone through vast and diverse research endeavors in the past few decades. Although the initial inspiration came from Darwin's ideas of biological evolution, the field has moved thereon to ideas from the collective intelligence of insects, birds, and fish, to name a few. A variety of algorithms have been proposed in the literature based on these ideas and have been shown to perform well in various applications. More recently, inspiration from human behavior and knowledge exchange and transformation has given rise to a new evolutionary computing paradigm. It is well recognized that human societies and problem-solving capabilities have evolved much faster than biological evolution. Many research endeavors have been reported in the literature inspired by diverse aspects of human societies with corresponding terminologies to describe the algorithm. These endeavors have resulted in a plethora of algorithms worded differently from each other, but the underlying mechanisms could be more or less similar, causing immense confusion for a new reader. This paper presents a generalized framework for these Socio-inspired Evolutionary Algorithms (SIEAs) or Socio-inspired Metaheuristic Algorithms. A survey of various SIEAs is provided to highlight the working of these algorithms on a common framework, their variations and improved versions proposed in the literature, and their applications in various fields of search and optimization. The algorithmic description of each SIEA enables a clearer understanding of the similarities and differences between these methodologies. Efforts have been made to provide an extensive list of references with due context. In that sense, this paper could become an excellent reference as a starting point for anyone interested in this fascinating field of research.

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Deep learning-based modeling of the cyclic behavior of replaceable fuse buckling-restrained braces (BRBs)

Sagheer,

AlHamaydeh,

Fayaz

et al. 2024

Structures

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Structural Design Optimization of All-Steel Buckling-Restrained Braces Using Intelligent Optimizers

Cited by 6 publications

References 51 publications

Optimal Processing of English Education Model Based on Artificial Intelligence Technology

Optimal Processing of English Education Model Based on Artificial Intelligence Technology

Socio-inspired evolutionary algorithms: a unified framework and survey

Deep learning-based modeling of the cyclic behavior of replaceable fuse buckling-restrained braces (BRBs)

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