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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
FUIN
1998
122views more  FUIN 1998»
13 years 7 months ago
Finite Markov Chain Results in Evolutionary Computation: A Tour d'Horizon
The theory of evolutionary computation has been enhanced rapidly during the last decade. This survey is the attempt to summarize the results regarding the limit and nite time behav...
Günter Rudolph
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
13 years 8 months ago
A multi-start quantum-inspired evolutionary algorithm for solving combinatorial optimization problems
Quantum-inspired evolutionary algorithms (QIEAs), as a subset of evolutionary computation, are based on the principles of quantum computing such as quantum bits and quantum superp...
Parvaz Mahdabi, Saeed Jalili, Mahdi Abadi
CIMCA
2005
IEEE
14 years 1 months ago
A New Evolutionary Algorithm for Determining the Optimal Number of Clusters
Estimating the optimal number of clusters for a dataset is one of the most essential issues in cluster analysis. An improper pre-selection for the number of clusters might easily ...
Wei Lu, Issa Traoré
AAAI
2006
13 years 8 months ago
A New Approach to Estimating the Expected First Hitting Time of Evolutionary Algorithms
The expected first hitting time is an important issue in theoretical analyses of evolutionary algorithms since it implies the average computational time complexity. In this paper,...
Yang Yu, Zhi-Hua Zhou