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GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
13 years 11 months ago
On the local performance of simulated annealing and the (1+1) evolutionary algorithm
Simulated annealing and the (1+1) EA, a simple evolutionary algorithm, are both general randomized search heuristics that optimize any objective function with probability
Thomas Jansen, Ingo Wegener
PPSN
2010
Springer
13 years 5 months ago
Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis
We present methods to answer two basic questions that arise when benchmarking optimization algorithms. The first one is: which algorithm is the `best' one? and the second one:...
Olaf Mersmann, Mike Preuss, Heike Trautmann
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
14 years 1 months ago
Transition models as an incremental approach for problem solving in evolutionary algorithms
This paper proposes an incremental approach for building solutions using evolutionary computation. It presents a simple evolutionary model called a Transition model in which parti...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, J...
AHS
2007
IEEE
210views Hardware» more  AHS 2007»
14 years 2 months ago
MOVES: A Modular Framework for Hardware Evolution
In this paper, we present a framework that supports experimenting with evolutionary hardware design. We describe the framework’s modules for composing evolutionary optimizers an...
Paul Kaufmann, Marco Platzner