Optimal design of feeding system in steel casting by constrained optimization algorithms based on InteCAST

Vibration control devices have recently been used in structures subjected to wind and earthquake excitations. The optimal design problems of the passive control device and the feedback gain matrix of the controller for the seismic-excited structures are some attractive problems for researches to develop optimization algorithms with the advancement in terms of simplicity, accuracy, speed, and efficacy. In this paper, a new modified teaching–learning-based optimization (TLBO) algorithm, known as MTLBO, is proposed for the problems. For some benchmark optimization functions and constrained engineering problems, the validity, efficacy, and reliability of the MTLBO are firstly assessed and compared to other optimization algorithms in the literature. The undertaken statistical indicate that the MTLBO performs better and reliable than some other algorithms studied here. The performance of the MTLBO will then be explored for two passive and active structural control problems. It is concluded that the MTLBO algorithm is capable of giving better results than conventional TLBO. Hence, its utilization as a simple, fast, and powerful optimization tool to solve particular engineering optimization problems is recommended.

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Application of novel constrained optimization algorithms to the minimum volume design of planar CHS trusses with parallel chords

Engineering Optimization ◽

10.1080/03052150410001686495 ◽

2004 ◽

Vol 36 (4) ◽

pp. 457-471 ◽

Cited By ~ 3

Author(s):

K. Jármai ◽

J. A. Snyman ◽

J. Farkas

Keyword(s):

Constrained Optimization ◽

Optimization Algorithms ◽

Minimum Volume

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Cuckoo search algorithm for applied structural and design optimization: Float system for experimental setups

Journal of Computational Design and Engineering ◽

10.1016/j.jcde.2018.07.001 ◽

2018 ◽

Vol 6 (2) ◽

pp. 159-172 ◽

Cited By ~ 9

Author(s):

Mostafa Jalal ◽

Maral Goharzay

Keyword(s):

Constrained Optimization ◽

Design Optimization ◽

Structural Design ◽

Search Algorithm ◽

Optimization Algorithms ◽

Cuckoo Search ◽

Cuckoo Search Algorithm ◽

Structural Constraints ◽

Generalized Reduced Gradient ◽

And Performance

Abstract In the present study, Cuckoo Search (CS) as a nature-inspired optimization algorithm was applied for structural and design optimization of a new float system for experimental setups. For this purpose, based on the setup configuration, it was tried to minimize the total length of the float, while maintaining the structural and performance-based constraints. Different geometries for the float structure were examined to come up with the feasible options. The problem was formulated into a constrained optimization in terms of four or five variables, depending on the geometry, along with two performance-based constraints and some structural constraints. CS was used to solve the constrained optimization problem and the convergence trends of the parameters to optimal solutions were examined in details. Generalized reduced gradient (GRG) method known as GRG nonlinear was also used for validation and comparison purpose. The results of the optimization and the performance of the float produced showed that CS can be used as a powerful tool for applied structural and design problems. It should be mentioned that the float problem can be used as a benchmark structural design problem for validation of new optimization algorithms. Besides, the optimal float can be produced for various experimental setups with different structures and constraints, depending on the application. Highlights Cuckoo Search (CS) algorithm as a metaheuristic approach. Constrained optimization in structural design using CS algorithm. Designing a new float for experimental setups. Production of an optimal float for measurement system. Float design as a benchmark problem for optimization algorithms.

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Optimal Design of Multi-Span Pitched Roof Frames with Tapered Members

Periodica Polytechnica Civil Engineering ◽

10.3311/ppci.13107 ◽

2018 ◽

Cited By ~ 1

Author(s):

Ali Kaveh ◽

Mohammad Zaman Kabir ◽

Mahdi Bohlool

Keyword(s):

Optimal Design ◽

Heuristic Algorithms ◽

Optimization Algorithms ◽

Lateral Loads ◽

Optimal Weight ◽

Industrial Buildings ◽

Optimum Weight ◽

Apex Height ◽

Tapered Members

Many industrial buildings require large spans and high height, and the use of a frame with inclined roofs with non-prismatic elements can reduce the usage of steel. Pitched roof frame with single spans are optimized using different meta-heuristic algorithms. In this paper, the optimal design of industrial frames with two and three spans under gravity and lateral loads is performed. Five efficient and widely accepted optimization algorithms are used to optimize each frame. The convergence histories and design results of these algorithms are compared and the most suitable algorithm is determined. In each frame, the effect of increasing the apex height is evaluated on the optimal weight and the best angle is determined for optimum weight.

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A Computer-Aided Optimization Approach for the Design of Injection Mold Cooling Systems

Journal of Mechanical Design ◽

10.1115/1.2826955 ◽

1998 ◽

Vol 120 (2) ◽

pp. 165-174 ◽

Cited By ~ 24

Author(s):

L. Q. Tang ◽

K. Pochiraju ◽

C. Chassapis ◽

S. Manoochehri

Keyword(s):

Finite Element ◽

Optimal Design ◽

Constrained Optimization ◽

Objective Function ◽

Optimization Problem ◽

Temperature Gradients ◽

Optimization Approach ◽

Injection Mold ◽

Constrained Optimization Problem ◽

Cooling Systems

A methodology is presented for the design of optimal cooling systems for injection mold tooling which models the mold cooling as a nonlinear constrained optimization problem. The design constraints and objective function are evaluated using Finite Element Analysis (FEA). The objective function for the constrained optimization problem is stated as minimization of both a function related to part average temperature and temperature gradients throughout the polymeric part. The goal of this minimization problem is to achieve reduction of undesired defects as sink marks, differential shrinkage, thermal residual stress built-up, and part warpage primarily due to non-uniform temperature distribution in the part. The cooling channel size, locations, and coolant flow rate are chosen as the design variables. The constrained optimal design problem is solved using Powell’s conjugate direction method using penalty function. The cooling cycle time and temperature gradients are evaluated using transient heat conduction simulation. A matrix-free algorithm of the Galerkin Finite Element Method (FEM) with the Jacobi Conjugate Gradient (JCG) scheme is utilized to perform the cooling simulation. The optimal design methodology is illustrated using a case study.

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