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GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
15 years 3 months ago
Exploiting gradient information in numerical multi--objective evolutionary optimization
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...
Peter A. N. Bosman, Edwin D. de Jong
ATAL
2007
Springer
15 years 4 months ago
Towards self-organising agent-based resource allocation in a multi-server environment
Distributed applications require distributed techniques for efficient resource allocation. These techniques need to take into account the heterogeneity and potential unreliability...
Tino Schlegel, Ryszard Kowalczyk
ISICA
2007
Springer
15 years 4 months ago
On the Performance of Metamodel Assisted MOEA/D
Abstract. MOEA/D is a novel and successful Multi-Objective Evolutionary Algorithms(MOEA) which utilizes the idea of problem decomposition to tackle the complexity from multiple obj...
Wudong Liu, Qingfu Zhang, Edward P. K. Tsang, Cao ...
DPD
2002
168views more  DPD 2002»
14 years 9 months ago
Evolutionary Algorithms for Allocating Data in Distributed Database Systems
A major cost in executing queries in a distributed database system is the data transfer cost incurred in transferring relations (fragments) accessed by a query from different sites...
Ishfaq Ahmad, Kamalakar Karlapalem, Yu-Kwong Kwok,...