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Mechanical Design Optimization Using Advanced Optimization Techniques

Part of the Springer Series in Advanced Manufacturing Book Series

DOI: 10.1007/978-1-4471-2748-2

ISBN: 978-1-4471-2747-5

Publisher: Springer London - Springer Journals

Jan 14, 2012

Available

Introduction

Rao, R. Venkata; Savsani, Vimal J.

Pages: 1 –3

[Mechanical design includes an optimization process in which designers always consider certain objectives such as strength, deflection, weight, wear, corrosion, etc. Depending on the requirements. However, design optimization for a complete mechanical assembly leads to a complicated objective...
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Advanced Optimization Techniques

Rao, R. Venkata; Savsani, Vimal J.

Pages: 5 –34

[This chapter presents the details of existing optimization algorithms such as Genetic Algorithm (GA), Artificial Immune Algorithm (AIA), Differential Evolution (DE), Biogeography-Based Optimization (BBO), Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), Harmony Elements Algorithm...
Available

Mechanical Design Optimization Using the Existing Optimization Techniques

Rao, R. Venkata; Savsani, Vimal J.

Pages: 35 –67

[This chapter presents the applications of advanced optimization algorithms such as ABC, PSO, DE, BBO and AIA to the design optimization of mechanical elements such as a simple gear train, radial ball bearing, Belleville spring, multi-plate disc clutch brake, robot gripper, hydrostatic thrust...
Available

Applications of Modified Optimization Algorithms to the Unconstrained and Constrained Problems

Rao, R. Venkata; Savsani, Vimal J.

Pages: 69 –121

[This chapter presents the applications of the modified PSO, HEA and ABC algorithms. Thirteen unconstrained and twenty-four constrained benchmark problems available in the literature are considered to check the performance of the modified algorithms. In addition, different mechanical element...
Available

Applications of Hybrid Optimization Algorithms to the Unconstrained and Constrained Problems

Rao, R. Venkata; Savsani, Vimal J.

Pages: 123 –131

[This chapter presents the applications of four different hybrid algorithms to the unconstrained and constrained benchmark functions and also to the mechanical element design optimization problems of a simple gear train, radial ball bearing, Belleville spring, multi-plate disc clutch brake, robot...
Available

Development and Applications of a New Optimization Algorithm

Rao, R. Venkata; Savsani, Vimal J.

Pages: 133 –194

[All the nature-inspired algorithms such as genetic algorithm (GA), PSO, BBO, ABC, DE, etc. require algorithm parameters to be set for their proper working. Proper selection of parameters is essential for the searching of the optimum solution by these algorithms. A change in the algorithm...
Available

Design Optimization of Selected Thermal Equipment Using Advanced Optimization Techniques

Rao, R. Venkata; Savsani, Vimal J.

Pages: 195 –229

[This chapter presents the details of design optimization of some selected thermal equipment such as a two-stage thermoelectric cooler (TEC), a shell and tube heat exchanger (STHE) and a heat pipe. The TLBO algorithm is applied successfully to the multi-objective optimization of a two-stage TEC...
Available

Conclusions

Rao, R. Venkata; Savsani, Vimal J.

Pages: 231 –233

[Mechanical elements such as gears, bearings, clutches, springs, power screws, hydraulic cylinders, etc., are widely used in machine tools, transmission systems, material handling equipments, automobiles, etc. Design of these mechanical elements includes an optimization process in which the...

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