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GECCO
2006
Springer
190views Optimization» more  GECCO 2006»
15 years 9 months ago
Design synthesis of microelectromechanical systems using genetic algorithms with component-based genotype representation
An automated design synthesis system based on a multi-objective genetic algorithm (MOGA) has been developed for the optimization of surface-micromachined MEMS devices. A hierarchi...
Ying Zhang, Raffi R. Kamalian, Alice M. Agogino, C...
EMO
2005
Springer
76views Optimization» more  EMO 2005»
15 years 10 months ago
Photonic Device Design Using Multiobjective Evolutionary Algorithms
Abstract. The optimization and design of two different types of photonic devices - a Fibre Bragg Grating and a Microstructured Polymer Optical Fibre is presented in light of multi...
Steven Manos, Leon Poladian, Peter J. Bentley, Mar...
TVLSI
2008
99views more  TVLSI 2008»
15 years 5 months ago
A Design-Specific and Thermally-Aware Methodology for Trading-Off Power and Performance in Leakage-Dominant CMOS Technologies
As CMOS technology scales deeper into the nanometer regime, factors such as leakage power and chip temperature emerge as critically important concerns for high-performance VLSI des...
Sheng-Chih Lin, Kaustav Banerjee
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 10 months ago
Incorporating fuzzy knowledge into fitness: multiobjective evolutionary 3D design of process plants
Designing technical plants is a complex and demanding process. It has been shown that the optimization of the simple facility placement problem is already NP-hard. Optimization of...
Ingo Mierswa
GECCO
2004
Springer
15 years 10 months ago
The Lens Design Using the CMA-ES Algorithm
This paper presents a lens system design algorithm using the covariance matrix adaptation evolution strategy (CMA-ES), which is one of the most powerful self-adaptation mechanisms....
Yuichi Nagata