نتایج جستجو برای: size optimization truss structures structural optimization meta heuristic algorithm

تعداد نتایج: 2313577  

The use of meta-heuristic optimization methods have become quite generic in the past two decades. This paper provides a theoretical investigation to find optimum design parameters of the Stirling heat engines using a recently presented nature-inspired method namely the gray wolf optimization (GWO). This algorithm is utilized for the maximization of the output power/thermal efficiency as well as...

2013
O. Hasançebi T. Teke O. Pekcan

Bat-inspired (BI) search is a recently developed numerical optimization technique that makes use of echolocation behavior of bats in seeking a design space. This study intends to explore capabilities and potentials of this newly developed method in the realm of structural optimization. A novel algorithm is developed that employs basic principles of this method for structural optimization proble...

The solutions used to solve bi-level congestion pricing problems are usually based on heuristic network optimization methods which may not be able to find the best solution for these type of problems. The application of meta-heuristic methods can be seen as viable alternative solutions but so far, it has not received enough attention by researchers in this field. Therefore, the objective of thi...

Journal: :Buildings 2023

With the development of various metaheuristic algorithms, research cases that perform weight optimization truss structures are steadily progressing. In particular, due to possibility developing quantum computers, algorithms combined with computation being developed. this paper, QbHS (Quantum based Harmony Search) algorithm was proposed by combining and conventional HS (Harmony size topology str...

2015
S. Talatahari A. Kaveh

Deterring the optimum design of large-scale structures is a difficult task. Great number of design variables, largeness of the search space and controlling great number of design constraints are major preventive factors in performing optimum design of large-scale truss structures in a reasonable time. Meta-heuristic algorithms are known as one of the useful tools to deal with these problems. Th...

L. J. Li, Y. Y. Wang ,

This article introduces two swarm intelligent algorithms, a group search optimizer (GSO) and an artificial fish swarm algorithm (AFSA). A single intelligent algorithm always has both merits in its specific formulation and deficiencies due to its inherent limitations. Therefore, we propose a mixture of these algorithms to create a new hybrid optimization algorithm known as the group search-artif...

A. Mohammadi, M. Shahrouzi ,

Dynamic structural responses via time history analysis are highly dependent to characteristics of selected records as the seismic excitation. Ground motion scaling is a well-known solution to reduce such a dependency and increase reliability to the dynamic results. The present work, formulate a twofold problem for optimal spectral matching and performing consequent sizing optimization based on ...

The Economic Load Dispatch (ELD) problems in power generation systems are to reduce the fuel cost by reducing the total cost for the generation of electric power. This paper presents an efficient Modified Firefly Algorithm (MFA), for solving ELD Problem. The main objective of the problems is to minimize the total fuel cost of the generating units having quadratic cost functions subjected to lim...

ژورنال: :دانش سرمایه گذاری 0
غلامرضا اسلامی بیدگلی دانشیار دانشکده مدیریت دانشگاه تهران احسان طیبی ثانی دانشجوی دکتری دانشگاه تهران (مسئول مکاتبات)

تحقیق حاضر یک الگوریتم ابتکاری را برای حل مسأله محدود بهینه سازی سبد سهام با توجه به ارزش در معرض ریسک (var) به عنوان معیار ریسک و با استفاده از الگوریتم ترکیبی مورچگان و ژنتیک  ارائه می دهد. در این تحقیق نشان داده خواهد شد که الگوریتم ترکیبی پیشنهادی قادر است مساله بهینه سازی سبد سهام را با توجه به معیار ارزش در معرض ریسک (var) با در نظرگرفتن محدودیت عدد صحیح برای تعداد سهام موجود در سبد سهام ...

2015
Ali Ahrari Ali A. Atai Kalyanmoy Deb

The most effective scheme of truss optimization considers the combined effect of topology, shape and size (TSS); however, most available studies on truss optimization by meta-heuristics concentrated on one or two of the above aspects. The presence of diverse design variables and constraints in TSS optimization may account for such limited applicability of meta-heuristics to this field. In this ...

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