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GCC
2003
Springer
14 years 1 months ago
An Evolutionary Constraint Satisfaction Solution for over the Cell Channel Routing
A novel combination of genetic algorithms and constraint satisfaction modelling for the solution of two and multi-layer over-thecell channel routing problems is presented. The two ...
Ahmet Ünveren, Adnan Acan
GECCO
2006
Springer
145views Optimization» more  GECCO 2006»
13 years 11 months ago
Multi-objective test problems, linkages, and evolutionary methodologies
Existing test problems for multi-objective optimization are criticized for not having adequate linkages among variables. In most problems, the Pareto-optimal solutions correspond ...
Kalyanmoy Deb, Ankur Sinha, Saku Kukkonen
GECCO
2000
Springer
142views Optimization» more  GECCO 2000»
13 years 11 months ago
Improving EAs for Sequencing Problems
Sequencing problems have to be solved very often in VLSI CAD. To obtain results of high quality, Evolutionary Algorithms (EAs) have been successfully applied in many cases. Howeve...
Wolfgang Günther, Rolf Drechsler
GECCO
2009
Springer
167views Optimization» more  GECCO 2009»
14 years 2 months ago
Fixed-parameter evolutionary algorithms and the vertex cover problem
In this paper, we consider multi-objective evolutionary algorithms for the Vertex Cover problem in the context of parameterized complexity. We relate the runtime of our algorithms...
Stefan Kratsch, Frank Neumann
GECCO
2007
Springer
189views Optimization» more  GECCO 2007»
14 years 2 months ago
A more bio-plausible approach to the evolutionary inference of finite state machines
With resemblance of finite-state machines to some biological mechanisms in cells and numerous applications of finite automata in different fields, this paper uses analogies an...
Hooman Shayani, Peter J. Bentley