Artificial Bee Colony algorithm for optimization of truss structures

Sönmez, M. Kemal

doi:10.1016/j.asoc.2010.09.003

Cited by 285 publications

(130 citation statements)

References 24 publications

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“…Loading conditions acting on the 25-bar truss. This truss problem has been previously studied by using deterministic global methods [3] and many stochastic optimization methods [21,27,28,31,[34][35][36][37][38][39]41,45]. Table 5 compares the best designs found by ALSSO and the above-mentioned stochastic methods.…”

Section: Spatial 25-bar Truss Structurementioning

confidence: 99%

Truss Structure Optimization with Subset Simulation and Augmented Lagrangian Multiplier Method

Du¹,

Dong

2017

Algorithms

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This paper presents a global optimization method for structural design optimization, which integrates subset simulation optimization (SSO) and the dynamic augmented Lagrangian multiplier method (DALMM). The proposed method formulates the structural design optimization as a series of unconstrained optimization sub-problems using DALMM and makes use of SSO to find the global optimum. The combined strategy guarantees that the proposed method can automatically detect active constraints and provide global optimal solutions with finite penalty parameters. The accuracy and robustness of the proposed method are demonstrated by four classical truss sizing problems. The results are compared with those reported in the literature, and show a remarkable statistical performance based on 30 independent runs.

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Section: Spatial 25-bar Truss Structurementioning

confidence: 99%

Truss Structure Optimization with Subset Simulation and Augmented Lagrangian Multiplier Method

Du¹,

Dong

2017

Algorithms

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“…This algorithm has been applied to and used for the successful solution of various engineering problems since the time it was proposed [33][34][35]. The ABC algorithm consists of four major steps: initialization, worker bees, onlooker bees, and scout bees.…”

Section: Overview Of the Abc Algorithmmentioning

confidence: 99%

Artificial bee colony algorithm based optimal reactive power flow of two-terminal HVDC systems

Kılıç¹,

Ayan²

2016

Turk J Elec Eng & Comp Sci

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This paper presents a solution technique for the optimal reactive power flow (ORPF) of alternating currentdirect current (AC-DC) power systems using the artificial bee colony (ABC) algorithm. A high voltage direct current (HVDC) transmission link is one of the most important network components in AC-DC power systems. In recent years there has been an increasing number of studies related to power systems with HVDC transmission links. One of them is the reactive power flow (RPF) optimization. The aim of ORPF in alternating current (AC) or AC-DC power systems is to minimize transmission line power loss under equality and inequality constraints. The relationships related to the HVDC link are incorporated into AC power system equations considering its power transfer characteristics. This paper contributes to the solution of the problem by using the ABC algorithm for the first time. The proposed method is examined on three test systems and its effectiveness in these kinds of applications is shown by the comparative results.

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“…When a worker bee becomes a scout bee, then the new scout bee randomly identifies a new nourishment source in the search area using Eq. (30). The value to which a particular source is depleted is referred as the "limit".…”

Section: Overview Of the Abc Algorithmmentioning

confidence: 99%

“…The algorithm has been applied to various engineering problems successfully since 2005 [23][24][25][26][27][28][29][30]. The algorithm consists of four major steps: initialization, worker bees, onlooker bees, and scout bees.…”

Section: Overview Of the Abc Algorithmmentioning

confidence: 99%

A new approach for optimal reactive power flow of MTDC systems using the ABC algorithm

Kılıç¹,

Ayan²

2017

Turk J Elec Eng & Comp Sci

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This paper presents a new approach to optimize reactive power flow of multiterminal high voltage direct current (HVDC) systems. Successful application of two-terminal DC systems worldwide makes the use of multiterminal direct current (MTDC) systems more attractive. Due to the economic and technical advantages of HVDC technology, MTDC systems have been used extensively in recent years. In this study, the artificial bee colony (ABC) algorithm is used for solution of the optimal reactive power flow problem of MTDC systems. In opposition to the current-balancing method used in the literature, this study represents a new approach for DC system power flow calculations. The proposed approach is tested on a sample IEEE MTDC test system. The results by the proposed approach are compared with those reported in the literature. Thus, the applicability and the efficiency of this approach used together with the ABC algorithm are shown.

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Artificial Bee Colony algorithm for optimization of truss structures

Cited by 285 publications

References 24 publications

Truss Structure Optimization with Subset Simulation and Augmented Lagrangian Multiplier Method

Truss Structure Optimization with Subset Simulation and Augmented Lagrangian Multiplier Method

Artificial bee colony algorithm based optimal reactive power flow of two-terminal HVDC systems

A new approach for optimal reactive power flow of MTDC systems using the ABC algorithm

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