A hybrid evolutionary graph-based multi-objective algorithm for layout optimization of truss structures

Kaveh, A.; Laknejadi, K.

doi:10.1007/s00707-012-0754-5

Cited by 38 publications

(9 citation statements)

References 18 publications

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“…An interesting, partially related to our approach is the work carried out in [66], which focuses on a hybrid evolutionary graph-based multi-objective algorithm for the layout optimization of truss structures. The encoding of each candidate solution is composed of three matrices (the adjacency matrix of the simple graph model, the adjacency matrix corresponding to the weighted graph model and the coordinate matrix of nodes) along with two Boolean vectors (representing restricted nodes, which cannot be left out, and those movable ones, respectively).…”

Section: Evolutionary Computation In Graph Approaches: Related Workmentioning

confidence: 99%

Optimizing the Structure of Distribution Smart Grids with Renewable Generation against Abnormal Conditions: A Complex Networks Approach with Evolutionary Algorithms

et al. 2017

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Abstract:In this work, we describe an approach that allows for optimizing the structure of a smart grid (SG) with renewable energy (RE) generation against abnormal conditions (imbalances between generation and consumption, overloads or failures arising from the inherent SG complexity) by combining the complex network (CN) and evolutionary algorithm (EA) concepts. We propose a novel objective function (to be minimized) that combines cost elements, related to the number of electric cables, and several metrics that quantify properties that are beneficial for SGs (energy exchange at the local scale and high robustness and resilience). The optimized SG structure is obtained by applying an EA in which the chromosome that encodes each potential network (or individual) is the upper triangular matrix of its adjacency matrix. This allows for fully tailoring the crossover and mutation operators. We also propose a domain-specific initial population that includes both small-world and random networks, helping the EA converge quickly. The experimental work points out that the proposed method works well and generates the optimum, synthetic, small-world structure that leads to beneficial properties such as improving both the local energy exchange and the robustness. The optimum structure fulfills a balance between moderate cost and robustness against abnormal conditions. Our approach should be considered as an analysis, planning and decision-making tool to gain insight into smart grid structures so that the low level detailed design is carried out by using electrical engineering techniques.

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Section: Evolutionary Computation In Graph Approaches: Related Workmentioning

confidence: 99%

Optimizing the Structure of Distribution Smart Grids with Renewable Generation against Abnormal Conditions: A Complex Networks Approach with Evolutionary Algorithms

et al. 2017

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“…A variety of such metrics and methods have been proposed in literature [9][10][11]. Method used in this study is based on a set of three metrics, namely: Coverage, Spacing and Maximum Spread [11,12].…”

Section: Comparison Criteriamentioning

confidence: 99%

Multi-objective Truss Optimization Using Different Types of the BB-BC Algorithm

Milajić

Beljaković

2016

MATEC Web Conf.

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Abstract. Optimum design of truss structures is considered as a benchmark problem in the field of the structural optimization. In order to solve this hard combinatorial problem, it is necessary to implement adequate optimization tool that would provide sufficiently wide range of possible solutions within a reasonable time as well as to obtain good exploration and exploitation of search space. The aim of presented study was to compare efficiency of different multi-objective algorithms in solving this task.

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“…Layout optimization has been investigated by different researchers using different methods. For example Wu and Chow [1] used GA for discrete variables for sections and continuous variables for nodal coordinates, Hasançebi and Erbatur [2] proposed an improved GA by combining the GA with annealing perturbation and adaptive design space reduction strategies, Kaveh and Khayatazad [3] developed the ray optimization, Kaveh and Laknejadi [4] presented a hybrid evolutionary graph based multi-objective algorithm, Kaveh and Zolghadr [5] suggested the democratic PSO, Kaveh et al [6] presented hybrid PSO and SSO algorithm, Kaveh and Ilchi Ghazaan [7] utilized improved ray optimization, Kaveh and Mahjoubi [8] proposed an improved spiral optimization algorithm for layout optimization of truss structures with frequency constraints, Kazemzadeh Azad et al [9] utilized big bang-big crunch for layout optimization of truss under dynamic excitation, and Kaveh et al [10] suggested a modified dolphin monitoring operator for layout optimization of planar braced frames.…”

Section: Introductionmentioning

confidence: 99%

Size/Layout Optimization of Truss Structures Using Shuffled Shepherd Optimization Method

Kaveh

Zaerreza

2020

Period. Polytech. Civil Eng.

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The main purpose of this paper is to investigate the ability of the recently developed multi-community meta-heuristic optimization algorithm, shuffled shepherd optimization algorithm (SSOA), in layout optimization of truss structures. The SSOA is inspired by mimicking the behavior of shepherd in nature. In this algorithm, agents are first divided into communities which are called herd and then optimization process, inspired by the shepherd's behavior in nature, is operated on each community. The new position of agents is obtained using elitism technique. Then communities are merged for sharing the information. The results of SSOA in layout optimization show that SSOA is competitive with other considered meta-heuristic algorithms.

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A hybrid evolutionary graph-based multi-objective algorithm for layout optimization of truss structures

Cited by 38 publications

References 18 publications

Optimizing the Structure of Distribution Smart Grids with Renewable Generation against Abnormal Conditions: A Complex Networks Approach with Evolutionary Algorithms

Optimizing the Structure of Distribution Smart Grids with Renewable Generation against Abnormal Conditions: A Complex Networks Approach with Evolutionary Algorithms

Multi-objective Truss Optimization Using Different Types of the BB-BC Algorithm

Size/Layout Optimization of Truss Structures Using Shuffled Shepherd Optimization Method

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