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GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
15 years 1 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
GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
15 years 1 months ago
Voronoi-initializated island models for solving real-coded deceptive problems
Deceptive problems have always been considered difficult for Genetic Algorithms. To cope with this characteristic, the literature has proposed the use of Parallel Genetic Algorith...
Santiago Muelas, José Manuel Peña, V...
DEXAW
2000
IEEE
81views Database» more  DEXAW 2000»
15 years 5 months ago
Evaluation of Different Visualizations of Web Search Results
This paper discusses the evaluation of a visual information seeking system for the Web called INSYDER. The aim of INSYDER is to find business information on the Web. The evaluatio...
Thomas M. Mann, Harald Reiterer
GECCO
2009
Springer
144views Optimization» more  GECCO 2009»
15 years 7 months ago
Cheating for problem solving: a genetic algorithm with social interactions
We propose a variation of the standard genetic algorithm that incorporates social interaction between the individuals in the population. Our goal is to understand the evolutionary...
Rafael Lahoz-Beltra, Gabriela Ochoa, Uwe Aickelin
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 7 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...