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CEC
2007
IEEE
16 years 26 days ago
The importance of a two-level perspective for island model design
— Our theoretical understanding of island models (IMs) is much worse than of single-population evolutionary algorithms (EAs). As a consequence there is relatively little guidance...
Z. Skolicki, K. De Jong
GECCO
2000
Springer
142views Optimization» more  GECCO 2000»
15 years 10 months ago
Improving EAs for Sequencing Problems
Sequencing problems have to be solved very often in VLSI CAD. To obtain results of high quality, Evolutionary Algorithms (EAs) have been successfully applied in many cases. Howeve...
Wolfgang Günther, Rolf Drechsler
GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
15 years 7 months ago
Testing parallelization paradigms for MOEAs
In this paper, we report on our investigation of factors affecting the performance of various parallelization paradigms for multiobjective evolutionary algorithms. Different paral...
Sadeesha Gamhewa, Philip Hingston
ECML
2007
Springer
16 years 24 days ago
Multi-objective Genetic Programming for Multiple Instance Learning
Abstract. This paper introduces the use of multi-objective evolutionary algorithms in multiple instance learning. In order to achieve this purpose, a multi-objective grammar-guided...
Amelia Zafra, Sebastián Ventura
CEC
2008
IEEE
16 years 1 months ago
Differential evolution for discrete optimization: An experimental study on Combinatorial Auction problems
: Differential evolutionary (DE) mutates solution vectors by the weighted difference of other vectors using arithmetic operations. As these operations cannot be directly extended t...
Jingqiao Zhang, Viswanath Avasarala, Arthur C. San...