Journal ArticleDOI
Object-Oriented Optimization Approach Using Genetic Algorithms for Lattice Towers
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TLDR
Improved search and rapid convergence are obtained by considering the lattice tower as a set of small objects and combining these objects into a system by combining genetic algorithms and an object-oriented approach.Abstract:
A new approach is presented for the optimization of steel lattice towers by combining genetic algorithms and an object-oriented approach. The purpose of this approach is to eliminate the difficulties in the handling of large size problems such as lattice towers. Improved search and rapid convergence are obtained by considering the lattice tower as a set of small objects and combining these objects into a system. This is possible with serial cantilever structures such as lattice towers. A tower consists of panel objects, which can be classified as separate objects, as they possess an independent property as well as inherent properties. This can considerably reduce the design space of the problem and enhance the result. An optimization approach for the steel lattice tower problem using objects and genetic algorithms is presented here. The paper also describes the algorithm with practical design considerations used for this approach. To demonstrate the approach, a typical tower configuration with practical constraints has been considered for discrete optimization with the new approach and compared with the results of a normal approach in which the full tower is considered.read more
Citations
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Journal ArticleDOI
Improving Full-Scale Transmission Tower Design through Topology and Shape Optimization
TL;DR: In this paper, structural topology and shape annealing (STSA) is applied to reduce the structural mass of an existing transmission tower by combining structural grammars with simulation.
Journal ArticleDOI
A procedure for the size, shape and topology optimization of transmission line tower structures
Rafael Rodrigues de Souza,Leandro Fleck Fadel Miguel,Rafael Holdorf Lopez,Letícia Fleck Fadel Miguel,André Jacomel Torii +4 more
TL;DR: In this paper, a methodology for topology optimization of transmission line towers is presented, where the structure is divided in main modules, which can assume different pre-established topologies (templates).
Journal ArticleDOI
Structural topology optimization of high-voltage transmission tower with discrete variables
Hui Yong Guo,Zheng Liang Li +1 more
TL;DR: In this paper, an adaptive genetic algorithm (AGAGA) is proposed as optimization algorithm to solve the structural optimization problem of long-span transmission tower, topology combination optimization method and layer combination optimization (LCO) method based on discrete variables are presented, respectively.
Journal ArticleDOI
A coupled finite element-optimization technique to determine critical microburst parameters for transmission towers
TL;DR: In this article, an optimization technique is coupled with a finite element model to identify the critical microburst parameters that lead to maximum forces in various members of a transmission tower structure and the coupled genetic algorithms-finite element code is employed to determine the critical members that are likely to fail during a microburst event.
Book ChapterDOI
Optimization of PTA crystallization process based on fuzzy GMDH networks and differential evolutionary algorithm
TL;DR: In this paper, a kind of global real-value optimization algorithm -— ADE algorithm is proposed for optimizing of PTA crystallization process, capable of find the optimal operation conditions effectively and efficiently and suitable for industrial application.
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Journal ArticleDOI
Discrete Optimization of Structures Using Genetic Algorithms
S Rajeev,C S Krishnamoorthy +1 more
TL;DR: A penalty‐based transformation method depends on the degree of constraint violation, which is found to be wellsuited for a parallel search using genetic algorithms.
Journal ArticleDOI
Optimal design of planar and space structures with genetic algorithms
TL;DR: An approach based on a proposed multilevel optimization is tested and proved to overcome this shortcoming and the main characteristic of the solution methodology is the use of a genetic algorithm (GA) as the optimizer.
Journal ArticleDOI
Sizing, Shape, and Topology Design Optimization of Trusses Using Genetic Algorithm
TL;DR: In this paper, a procedure is developed for the combined sizing, shape, and topology design of space trusses, where discrete and continuous values are used to define the cross-sectional areas of the members.
Journal ArticleDOI
Multiobjective optimization of trusses using genetic algorithms
TL;DR: Using the concept of min–max optimum, a new GA-based multiobjective optimization technique is proposed and two truss design problems are solved using it, proving that this technique generates better trade-offs and that the genetic algorithm can be used as a reliable numerical optimization tool.