A Multi-objective and Multidisciplinary Optimisation Algorithm for Microelectromechanical Systems

2017 ◽  
pp. 205-238
Author(s):  
Michael Farnsworth ◽  
Ashutosh Tiwari ◽  
Meiling Zhu ◽  
Elhadj Benkhelifa
Keyword(s):  
Microelectromechanical Systems ◽  
Multi Objective ◽  
Optimisation Algorithm

Multi-objective mixture design of cemented paste backfill using particle swarm optimisation algorithm

2020 ◽  
Vol 153 ◽  
pp. 106385 ◽  
Author(s):  
Ehsan Sadrossadat ◽  
Hakan Basarir ◽  
Ganhua Luo ◽  
Ali Karrech ◽  
Richard Durham ◽  
...  
Keyword(s):  
Particle Swarm ◽  
Mixture Design ◽  
Particle Swarm Optimisation ◽  
Cemented Paste Backfill ◽  
Multi Objective ◽  
Optimisation Algorithm ◽  
Paste Backfill ◽  
Particle Swarm Optimisation Algorithm

A novel multi-objective optimisation algorithm: artificial bee colony in conjunction with bacterial foraging

2015 ◽  
Vol 3 (4) ◽  
pp. 369 ◽  
Author(s):  
Mohammad Javad Mahmoodabadi ◽  
Milad Taherkhorsandi ◽  
Rahmat Abedzadeh Maafi ◽  
Krystel K. Castillo Villar
Keyword(s):  
Artificial Bee Colony ◽  
Multi Objective ◽  
Bacterial Foraging ◽  
Optimisation Algorithm ◽  
Bee Colony

scholarly journals Biogeography-inspired multiobjective optimization for helping MEMS synthesis

2017 ◽  
Vol 66 (3) ◽  
pp. 607-623 ◽  
Author(s):  
Paolo Di Barba ◽  
Maria Evelina Mognaschi ◽  
Paolo Venini ◽  
Slavomir Wiak
Keyword(s):  
Multiobjective Optimization ◽  
Case Studies ◽  
Research Field ◽  
Optimal Shape ◽  
Shape Design ◽  
Optimal Shape Design ◽  
Multi Objective ◽  
Optimisation Algorithm

AbstractThe aim of the paper is to assess the applicability of a multi-objective biogeography-based optimisation algorithm in MEMS synthesis. In order to test the performances of the proposed method in this research field, the optimal shape design of an electrostatic micromotor, and two different electro-thermo-elastic microactuators are considered as the case studies.

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