Advanced Design Optimisation by Means of Multiobjective Evolutionary Algorithms: The Case of Two Real World Applications

Elhadj Benkhelifa; Ashutosh Tiwari; Mohamed Abdel-Maguid

doi:10.4028/www.scientific.net/KEM.572.589

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New Virtual Application for Improving the Students' Understanding of Ternary Phase Diagrams
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Interactive Virtual Platform for Simulating a Concrete Compression Test
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Advanced Design Optimisation by Means of Multiobjective Evolutionary Algorithms: The Case of Two Real World Applications
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Locator Layout Optimization for Checking Fixture Design of Thin-Walled Parts
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A Sugeno-Type Fuzzy Expert System for Rough Turning
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Façade Optimisation Using a Point Equilibrium Methodology
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The Capability of the Laser Based Additive Manufacturing Process in the Manufacture of Fractal like Heat Transfer Devices
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HomeKey Engineering MaterialsKey Engineering Materials Vol. 572Advanced Design Optimisation by Means of...

Advanced Design Optimisation by Means of Multiobjective Evolutionary Algorithms: The Case of Two Real World Applications

Abstract:

The Design Optimisation (DO) of Complex Systems is often a multidisciplinary task and involves multiple conflicting objectives and design constraints, where conventional methods cannot solve efficiently. This paper presents Advanced DO by Means of Evolutional Algorithms in two Real World Applications Electronics and Micro-Electro-Mechanical-Systems (MEMS). The former is presented in the context of multi-objective evolutionary synthesis and optimisation of analogue systems. As for the latter, DO of MEMS bio-mimetically is a very novel area of research, Which addresses the compelling change in the traditional landscape of the associated research disciplines by seeking to provide a novel biologically inspired computational platform for DO of micro-scale designs. This paper presents the latest advancements in the application of EAs in the DO of MEMS and analogue electronic systems and the emergence of the new area of Multidisciplinary Optimisation'.

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Periodical:

Key Engineering Materials (Volume 572)

Pages:

589-592

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.572.589

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Online since:

September 2013

Authors:

Elhadj Benkhelifa, Ashutosh Tiwari, Mohamed Abdel-Maguid

Keywords:

Evolutionary Algorithm (EA), Evolutionary Electronics, MEMS, Multidisciplinary Optimisation, Multi-Objective Optimization (MOP)

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