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GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
15 years 6 months ago
A Similarity-Based Mating Scheme for Evolutionary Multiobjective Optimization
This paper proposes a new mating scheme for evolutionary multiobjective optimization (EMO), which simultaneously improves the convergence speed to the Pareto-front and the diversit...
Hisao Ishibuchi, Youhei Shibata
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
15 years 5 months ago
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
Iason Hatzakis, David Wallace
194
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GECCO
2008
Springer
363views Optimization» more  GECCO 2008»
15 years 2 months ago
Towards high speed multiobjective evolutionary optimizers
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder
ICPPW
2005
IEEE
15 years 7 months ago
A Niche for Parallel Island Models: Outliers and Local Search
This paper reports on the development of a novel island model for evolutionary algorithms, which is intrinsically parallel and intended to better utilise resources and outlier sol...
Steven Gustafson, Edmund K. Burke
BIOSYSTEMS
2007
72views more  BIOSYSTEMS 2007»
15 years 1 months ago
On the use of multi-objective evolutionary algorithms for survival analysis
This paper proposes and evaluates a multi-objective evolutionary algorithm for survival analysis. One aim of survival analysis is the extraction of models from data that approxima...
Christian Setzkorn, Azzam Fouad George Taktak, Ber...