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TCAD
2002
110views more  TCAD 2002»
13 years 7 months ago
A constructive genetic algorithm for gate matrix layout problems
This paper describes an application of a Constructive Genetic Algorithm (CGA) to the Gate Matrix Layout Problem (GMLP). The GMLP happens in very large scale integration (VLSI) desi...
Alexandre César Muniz de Oliveira, Luiz Ant...
GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
14 years 1 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
ATAL
2003
Springer
14 years 25 days ago
Designing Self-Assembly for 2-Dimensional Building Blocks
In this paper we present a genetic algorithm-based approach towards designing self-assembling objects comprised of square smart blocks. Each edge of each block can have one of thr...
Ying Guo, Geoff Poulton, Philip Valencia, Geoff Ja...
GECCO
2005
Springer
118views Optimization» more  GECCO 2005»
14 years 1 months ago
G2DGA: an adaptive framework for internet-based distributed genetic algorithms
The Internet is different from traditional parallel computing environments, and Distributed Genetic Algorithms (DGAs) for the Internet need to be designed to address these diffe...
Johan Berntsson
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
14 years 1 months ago
Multi-level genetic algorithm (MLGA) for the construction of clock binary tree
The clock signal and clock skew become more and more important for the circuit performance. Since there are salient shortcomings in the conventional topology construction algorith...
Guofang Nan, Minqiang Li, Jisong Kou