Adaptive Hybrid Harmony Search algorithm for optimal design of laminate composites

The present trend in industries is to improve the techniques currently used in design and manufacture of products in order to meet the challenges of the competitive market. The crucial task nowadays is to find the optimal design and machining parameters so as to minimize the production costs. Design optimization involves more numbers of design variables with multiple and conflicting objectives, subjected to complex nonlinear constraints. The complexity of optimal design of machine elements creates the requirement for increasingly effective algorithms. Solving a nonlinear multiobjective optimization problem requires significant computing effort. From the literature it is evident that metaheuristic algorithms are performing better in dealing with multiobjective optimization. In this paper, we extend the recently developed parameter adaptive harmony search algorithm to solve multiobjective design optimization problems using the weighted sum approach. To determine the best weightage set for this analysis, a performance index based on least average error is used to determine the index of each weightage set. The proposed approach is applied to solve a biobjective design optimization of disc brake problem and a newly formulated biobjective design optimization of helical spring problem. The results reveal that the proposed approach is performing better than other algorithms.

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Improved Harmony Search algorithm based optimal design of the brushless DC wheel motor

2010 IEEE International Conference on Sustainable Energy Technologies (ICSET) ◽

10.1109/icset.2010.5684426 ◽

2010 ◽

Cited By ~ 8

Author(s):

Parikshit Yadav ◽

Rajesh Kumar ◽

S. K. Panda ◽

C. S. Chang

Keyword(s):

Optimal Design ◽

Search Algorithm ◽

Harmony Search ◽

Harmony Search Algorithm ◽

Brushless Dc ◽

Improved Harmony Search ◽

Improved Harmony Search Algorithm

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Optimal Design of a Hybrid Structural Control System using a Self-Adaptive Harmony Search Algorithm

Journal of the Computational Structural Engineering Institute of Korea ◽

10.7734/coseik.2018.31.6.301 ◽

2018 ◽

Vol 31 (6) ◽

pp. 301-308

Author(s):

Wonsuk Park ◽

Keyword(s):

Control System ◽

Optimal Design ◽

Structural Control ◽

Search Algorithm ◽

Harmony Search ◽

Harmony Search Algorithm ◽

Self Adaptive

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Geometric Optimization of a Delta Type Parallel Robot Using Harmony Search Algorithm

Robotica ◽

10.1017/s0263574719000080 ◽

2019 ◽

Vol 37 (9) ◽

pp. 1494-1512

Author(s):

Mahmood Mazare ◽

Mostafa Taghizadeh

Keyword(s):

Optimal Design ◽

Search Algorithm ◽

Dynamic Performance ◽

Harmony Search ◽

Parallel Robot ◽

Harmony Search Algorithm ◽

Geometric Optimization ◽

Global Error ◽

Reachable Workspace ◽

Sensitivity Indices

SummaryThis paper aims to provide an optimal design of geometric parameters of a special architecture of the delta parallel mechanism, in order to improve positioning accuracy, workspace size, and kinematic and dynamic performance characteristics. In the studied 3[P2(US)] robot, the radius of both fixed and moving platforms, length of the connecting rods, and installation angle of the actuators of the manipulator are chosen as the decision variables. These parameters are optimized to maximize the weighted objective function, comprising workspace volume, global dexterity, global mass, global error, and global error sensitivity indices. Optimizations are performed employing two distinct algorithms, Genetic and Harmony Search whose results confirm each other. The optimal design of the robot leads to maximum workspace size, high dexterity, and dynamic performance, with a minimum error of the end-effector position in its reachable workspace.

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