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GECCO
2005
Springer
125views Optimization» more  GECCO 2005»
15 years 5 months ago
Improving EA-based design space exploration by utilizing symbolic feasibility tests
This paper will propose a novel approach in combining Evolutionary Algorithms with symbolic techniques in order to improve the convergence of the algorithm in the presence of larg...
Thomas Schlichter, Christian Haubelt, Jürgen ...
GECCO
2008
Springer
157views Optimization» more  GECCO 2008»
15 years 29 days ago
Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automata
Self-adaptation is used a lot in Evolutionary Strategies and with great success, yet for some reason it is not the mutation adaptation of choice for Genetic Algorithms. This poste...
Ron Breukelaar, Thomas Bäck
ARCS
2007
Springer
15 years 3 months ago
Toward Self-adaptive Embedded Systems: Multi-objective Hardware Evolution
Abstract. Evolutionary hardware design reveals the potential to provide autonomous systems with self-adaptation properties. We first outline an architectural concept for an intrins...
Paul Kaufmann, Marco Platzner
ICOIN
2001
Springer
15 years 4 months ago
A 3D Modeling System for Creative Design
We propose a new approach to easily creating 3 0 geometric models. A technique called interactive evolutionary computation (IEC) is introduced to accelerate user’s invention and...
Hiroaki Nishino, Hideyuki Takagi, Sung-Bae Cho, Ko...
GECCO
2009
Springer
121views Optimization» more  GECCO 2009»
15 years 6 months ago
Evolutionary algorithms and dynamic programming
Recently, it has been proven that evolutionary algorithms produce good results for a wide range of combinatorial optimization problems. Some of the considered problems are tackled...
Benjamin Doerr, Anton Eremeev, Christian Horoba, F...