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» Evolutionary design search, exploration and optimisation
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ASAP
2005
IEEE
108views Hardware» more  ASAP 2005»
13 years 11 months ago
Using Symbolic Feasibility Tests during Design Space Exploration of Heterogeneous Multi-Processor Systems
The task of automatic design space exploration of heterogeneous multi-processor systems is often tackled with Evolutionary Algorithms. In this paper, we propose a novel approach i...
Thomas Schlichter, Christian Haubelt, Frank Hannig...
GECCO
2005
Springer
125views Optimization» more  GECCO 2005»
13 years 10 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 ...
EC
2010
157views ECommerce» more  EC 2010»
13 years 5 months ago
Memetic Algorithms for Continuous Optimisation Based on Local Search Chains
Memetic algorithms with continuous local search methods have arisen as effective tools to address the difficulty of obtaining reliable solutions of high precision for complex cont...
Daniel Molina, Manuel Lozano, Carlos García...
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
13 years 11 months ago
An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments
The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
Oliver Kramer, Bartek Gloger, Andreas Goebels
EMO
2001
Springer
152views Optimization» more  EMO 2001»
13 years 9 months ago
Multi-objective Design Space Exploration of Road Trains with Evolutionary Algorithms
This paper examines the road train concept as a new alternative in long-distance freight traffic. The design of such a system is a difficult task since many different and conflicti...
Nando Laumanns, Marco Laumanns, Dirk Neunzig