Rank‐based ant colony algorithms for truss weight minimization with discrete variables

Capriles, Priscila V. S. Z.; Goliatt, Leonardo; Barbosa, Hélio J. C.; Lemonge, Afonso C. C.

doi:10.1002/cnm.912

Cited by 55 publications

(23 citation statements)

References 15 publications

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“…Then, the amount of fitness is calculated and existing population designs are sorted [27]. Pheromone evaporation process for all the possible paths is done based on the following equation:…”

Section: Island (4)mentioning

confidence: 99%

Optimal Design of Steel Towers Using a Multi-Metaheuristic Based Search Method

Kaveh

Kalatjari²,

Talebpour³

2016

Period. Polytech. Civil Eng.

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Section: Island (4)mentioning

confidence: 99%

Optimal Design of Steel Towers Using a Multi-Metaheuristic Based Search Method

Kaveh

Kalatjari²,

Talebpour³

2016

Period. Polytech. Civil Eng.

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“…All of these methods have the same basis and only differ in the suggestions they provide for increasing ACO efficiency. In this paper, the ant colony algorithm used in [1], [7] was employed. This algorithm provides an efficient and improved ACO procedure.…”

Section: Structural Optimization Based On Acomentioning

confidence: 99%

“…This algorithm provides an efficient and improved ACO procedure. Based on [7], during the optimization process, the local search procedure is run by making changes to the pheromone of some members in the list of section. Fig.…”

Section: Structural Optimization Based On Acomentioning

confidence: 99%

“…In other words, corresponding to some members of list of sections in the upper and lower of the variable of optimum design in pheromone matrix, pheromone is considered equal to the primary pheromone value. Investigations indicated that this process has a considerable effect on improving the performance of ACO [7,11].…”

Section: Search In the Neighborhood Of Best Designmentioning

confidence: 99%

“…Evaporation process results in eliminating the long and unsuccessful routes during ants search action so that the shortest path to the food source will be detected by ants. Inspired by this fact, structural optimization problem was investigated by several research and in some cases the standard algorithm is improved through some enhancements [5][6][7][8][9][10][11]. In this relation, different approaches based on Ant Colony algorithm principles namely, Ant Colony System (ACS), Max-Min Ant System (MMAS), Rank-Based Ant System (RBAS), Best and Worst Ant System (BWAS) were proposed by different researchers [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

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An Improved Ant Colony Algorithm for the Optimization of Skeletal Structures by the Proposed Sampling Search Space Method

Kalatjari

Talebpour

2016

Period. Polytech. Civil Eng.

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Optimum discrete design of steel tower structures using optics inspired optimization method

Jalili

Kashan

2018

Structural Design Tall Build

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This paper presents an optics inspired optimization (OIO) method for optimum design of steel tower structures with discrete variables. Inspired by the optical characteristics of concave and convex mirrors, OIO tries to solve optimization problem. In OIO, the surface of the objective function to be minimized is considered as a reflecting wavy mirror consisting of peaks and valleys.To generate a new solution (artificial image point) from a given solution (artificial object/light point) in the search space, it is assumed that the artificial ray glittered from the artificial light point is reflected back artificially by the function surface in which each peak is considered as a convex mirror and each valleys is treated as a concave mirror. Then, the artificial image point is formed by the theory of optics in Physics, and a new solution is generated in the search space accordingly. Numerical experiments have been conducted on 4 benchmark design examples with discrete variables, and the results obtained by OIO are compared to those reported in the literature. The results show that OIO can produce high quality solutions and show a relatively fast convergence rate. KEYWORDS discrete variables, optics inspired optimization, optimum design, tower structures 1 | INTRODUCTION Tower structures are, typically, considered high-rise and large scale structures composed of several hundred elements. They are among the tallest man-made structures. 1 This type of the structures has important applications in the electrical, telecommunication, and broadcasting industries.However, the design optimization of tower structures is a complex and real challenge. Evidence of this complexity is clear from simply glancing through many recently constructed tower structures, in which the existence of high number of design variables as well as the geometrical complexity make finding optimum design a challenging problem.In recent decades, the need for powerful and effective optimization techniques dealing with the structural optimum design problems has become widespread in the field of the structural engineering. [1][2][3][4][5][6][7][8][9][10] The objective of optimum discrete design problem of tower structures is to minimize the constructional costs of the structure under a number of design constraints. The constructional costs are commonly represented by the weight of the tower structure and the design constraints are the axial stresses and the nodal displacements, as well as assuring that the cross-sectional areas are economically available.There has been an increasing interest toward adaptive meta-heuristic optimization techniques inspired from physics, nature, and other disciplines for solving the structural discrete design problem optimally, [11,12] for the reason that they have relatively a powerful global searching capacity and simple framework. Examples are genetic algorithms (GAs), [4,13,14] particle swarm optimization (PSO), [15] ant colony optimization (ACO), [16] harmony search (HS) [17] algorithm, biogeography-based optimization (BBO)...

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Rank‐based ant colony algorithms for truss weight minimization with discrete variables

Cited by 55 publications

References 15 publications

Optimal Design of Steel Towers Using a Multi-Metaheuristic Based Search Method

Optimal Design of Steel Towers Using a Multi-Metaheuristic Based Search Method

An Improved Ant Colony Algorithm for the Optimization of Skeletal Structures by the Proposed Sampling Search Space Method

Optimum discrete design of steel tower structures using optics inspired optimization method

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