Journal ArticleDOI
Design of space trusses using modified teaching–learning based optimization
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TLDR
Optimization results indicate that the modified TLBO algorithm can generate improved designs when compared to other population-based techniques and in some cases improve the overall computational efficiency.About:
This article is published in Engineering Structures.The article was published on 2014-03-15. It has received 163 citations till now. The article focuses on the topics: Continuous optimization & Discrete optimization.read more
Citations
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Journal ArticleDOI
Roles of artificial intelligence in construction engineering and management: A critical review and future trends
Yue Pan,Limao Zhang +1 more
TL;DR: A systematic review under both scientometric and qualitative analysis is presented to present the current state of AI adoption in the context of CEM and discuss its future research trends.
Journal ArticleDOI
Design and volume optimization of space structures
TL;DR: A systematic computational framework is proposed for the design of space structures that incorporates static soundness, approximation of reference surfaces, boundary alignment, and geometric regularity and is validated by a variety of examples and comparisons.
Journal ArticleDOI
Review of applications of TLBO algorithm and a tutorial for beginners to solve the unconstrained and constrained optimization problems
TL;DR: This paper presents a review of applications of TLBO algorithm and a tutorial for solving the unconstrained and constrained optimization problems and is expected to be useful to the beginners.
Journal ArticleDOI
Sizing optimization of truss structures using flower pollination algorithm
TL;DR: The recently developed flower pollination algorithm is used to minimize the weight of truss structures, including sizing design variables, and implements an iterative constraint handling strategy that aims to obtain always feasible optimized designs.
Journal ArticleDOI
Truss optimization with discrete design variables: a critical review
TL;DR: This review presents developed models, theory, and numerical methods for structural optimization of trusses with discrete design variables in the period 1968 – 2014 and collects, for the first time, the articles in the field presenting deterministic optimization methods and meta heuristics.
References
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Proceedings ArticleDOI
Particle swarm optimization
TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
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
Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems
TL;DR: The effectiveness of the TLBO method is compared with the other population-based optimization algorithms based on the best solution, average solution, convergence rate and computational effort and results show that TLBO is more effective and efficient than the other optimization methods.
Book
The Wisdom of Crowds: Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies and Nations
TL;DR: Surowiecki explores a seemingly counter-intuitive idea that has profound implications as mentioned in this paper : Decisions taken by a large group, even if the individuals within the group aren't smart, are always better than decisions made by small numbers of 'experts'.
Related Papers (5)
Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems
Size optimization of space trusses using Big Bang-Big Crunch algorithm
Ali Kaveh,Siamak Talatahari +1 more