Design optimization of N-shaped roof trusses using reactive taboo search

Hamza, Karim; Mahmoud, Haitham A.

doi:10.1016/s1568-4946(03)00036-x

Cited by 21 publications

(10 citation statements)

References 16 publications

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“…The problem of active structural acoustic control [55] and visual representation of data through clustering [56] are also well treated. Additionally the solution of the engineering roof truss design problem is discussed in [57]. An application of RSO for designing barrelled cylinders and domes of generalized elliptical profile is studied in [58].…”

Section: Applicationsmentioning

confidence: 99%

A Multicriteria Decision Making Environment for Engineering Design and Production Decision-Making

Mosavi¹

2013

IJCA

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A novel environment for optimization, analytics and decision support in general engineering design problems is introduced. The utilized methodology is based on reactive search optimization (RSO) procedure and its recently implemented visualization software packages. The new set of powerful integrated data mining, modeling, visualiztion and learning tools via a handy procedure stretches beyond a decisionmaking task and attempts to discover new optimal designs relating to decision variables and objectives, so that a deeper understanding of the underlying problem can be obtained. In an optimal engineering design environment as such solving the multicriteria decision-making (MCDM) problem is considered as a combined task of optimization and decisionmaking. Yet in solving real-life MCDM problems often most of attention has been on finding the complete Pareto-optimal set of the associated multiobjective optimization (MOO) problem and less on decision-making. In this paper, along with presenting two case studies, the proposed interactive procedure which involves the decision-maker (DM) in the process addresses this issue effectively. Moreover the methodology delivers the capablity of handling the big data often associated with production decision-making as well as materials selection tasks in engineering design problems.

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Section: Applicationsmentioning

confidence: 99%

A Multicriteria Decision Making Environment for Engineering Design and Production Decision-Making

Mosavi¹

2013

IJCA

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“…The problem of active structural acoustic control [48] and visual representation of data through clustering [49] are also well treated. Additionaly the solution of the engineering roof truss design problem is discussed in [50]. An application of RSO for designing barreled cylinders and domes of generalized elliptical profile is studied in [51].…”

Section: Applicationsmentioning

confidence: 99%

Reactive Search Optimization; Application to Multiobjective Optimization Problems

Mosavi¹,

Vaezipour²

2012

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During the last few years we have witnessed impressive developments in the area of stochastic local search techniques for intelligent optimization and Reactive Search Optimization. In order to handle the complexity, in the framework of stochastic local search optimization, learning and optimization has been deeply interconnected through interaction with the decision maker via the visualization approach of the online graphs. Consequently a number of complex optimization problems, in particular multiobjective optimization problems, arising in widely different contexts have been effectively treated within the general framework of RSO. In solving real-life multiobjective optimization problems often most emphasis are spent on finding the complete Pareto-optimal set and less on decision-making. However the complete task of multiobjective optimization is considered as a combined task of optimization and decision-making. In this paper, we suggest an interactive procedure which will involve the decision-maker in the optimization process helping to choose a single solution at the end. Our proposed method works on the basis of Reactive Search Optimization (RSO) algorithms and available software architecture packages. The procedure is further compared with the excising novel method of Interactive Multiobjective Optimization and Decision-Making, using Evolutionary method (I-MODE). In order to evaluate the effectiveness of both methods the well-known study case of welded beam design problem is reconsidered.

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“…The solution of the engineering roof truss design problem is discussed in [70] An application of reactive tabu search for designing barrelled cylinders and domes of generalized elliptical profile is studied in [32]. The cylinders and domes are optimized for their buckling resistance when loaded by static external pressure by using a structural analysis tool.…”

Section: Real-world Applicationsmentioning

confidence: 99%