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Journal ArticleDOI

Performance-based seismic design of steel frames using ant colony optimization

TLDR
In this article, a performance-based optimal seismic design of frame structures is presented using the ant colony optimization (ACO) method, which leads to a significant improvement in consistency and computational efficiency compared to other evolutionary methods.
About
This article is published in Journal of Constructional Steel Research.The article was published on 2010-04-01. It has received 117 citations till now. The article focuses on the topics: Metaheuristic & Meta-optimization.

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Citations
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Journal ArticleDOI

A survey of non-gradient optimization methods in structural engineering

TL;DR: A review on non-gradient optimization methods with applications to structural engineering and some remarks on the value of using methods customized for a desired application are made.
Journal ArticleDOI

Charged system search for optimal design of frame structures

TL;DR: A comparison between the characteristics of the CSS algorithm and other well-known meta-heuristics is performed to indicate their similarities and differences.
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Damage assessment of truss structures from changes in natural frequencies using ant colony optimization

TL;DR: The developed code is used to assess damages of truss like structures using first few natural frequencies and the outcomes show that the developed method can detect and estimate the amount of damages with satisfactory precision.
Journal ArticleDOI

Performance-based optimum seismic design of steel structures by a modified firefly algorithm and a new neural network

TL;DR: An efficient methodology, consisting of two computational strategies, is presented for performance-based optimum seismic design (PBOSD) of steel moment frames and a new neural network model termed as wavelet cascade-forward back-propagation is proposed to effectively predict the results of nonlinear pushover analysis during the optimization process.
Journal ArticleDOI

Performance based discrete topology optimization of steel braced frames by a new metaheuristic

TL;DR: A new metaheuristic algorithm, center of mass optimization (CMO), is proposed to deal with the performance-based discrete topology optimization (PBDTO) problem based on the physical concept ofcenter of mass for mass distribution in space.
References
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Book

Adaptation in natural and artificial systems

TL;DR: Names of founding work in the area of Adaptation and modiication, which aims to mimic biological optimization, and some (Non-GA) branches of AI.
Journal ArticleDOI

Ant system: optimization by a colony of cooperating agents

TL;DR: It is shown how the ant system (AS) can be applied to other optimization problems like the asymmetric traveling salesman, the quadratic assignment and the job-shop scheduling, and the salient characteristics-global data structure revision, distributed communication and probabilistic transitions of the AS.
Journal ArticleDOI

Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art

TL;DR: A comprehensive survey of the most popular constraint-handling techniques currently used with evolutionary algorithms, including approaches that go from simple variations of a penalty function, to others, more sophisticated, that are biologically inspired on emulations of the immune system, culture or ant colonies.

The Federal Emergency Management Agency (FEMA)

TL;DR: The Federal Emergency Management Agency (FEMA) assists states and localities overwhelmed by, or at risk from, disasters as discussed by the authors, and co-ordinates emergency management activities and planning for the continuity of government should national security be threatened.
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