Title :
Bat algorithm for topology optimization in microelectronic applications
Author :
Xin-She Yang ; Karamanoglu, Mehmet ; Fong, Simon
Author_Institution :
Sch. of Sci. & Technol., Middlesex Univ., London, UK
Abstract :
In many design applications, designers often have to find the best geometrical configurations so as to achieve certain objectives with the minimum amount of materials used. Such shape or topology optimization problems are usually much harder to solve than nonlinear optimization problems in a fixed domain. In this paper, we use the recently developed bat algorithm to solve topology optimization problems. Results show that the distribution of different topological characteristics such as materials can be achieved efficiently. We have also tested the bat algorithm by solving nonlinear design benchmarks. Results suggest that bat algorithm is very efficient for solving nonlinear global optimization problems as well as topology optimization.
Keywords :
integrated circuit design; nonlinear programming; topology; bat algorithm; design application; geometrical configuration; microelectronic application; nonlinear design benchmark; nonlinear global optimization; topological characteristics; topology optimization problem; Bat algorithm; inverse problem; metaheuristics; optimization algorithm; topology optimization;
Conference_Titel :
Future Generation Communication Technology (FGCT), 2012 International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4673-5859-0
DOI :
10.1109/FGCT.2012.6476566