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CEC
2008
IEEE
14 years 1 months ago
Solving dynamic multi-objective problems with vector evaluated particle swarm optimisation
— Many optimisation problems are multi-objective and change dynamically. Many methods use a weighted average approach to the multiple objectives. This paper introduces the usage ...
Mardé Greeff, Andries Petrus Engelbrecht
GECCO
2004
Springer
14 years 12 days ago
Introducing Subchromosome Representations to the Linkage Learning Genetic Algorithm
This paper introduces subchromosome representations to the linkage learning genetic algorithm (LLGA). The subchromosome representation is utilized for effectively lowering the num...
Ying-Ping Chen, David E. Goldberg
CORR
2011
Springer
239views Education» more  CORR 2011»
12 years 10 months ago
Multi-objective Optimization For The Dynamic Multi-Pickup and Delivery Problem with Time Windows
: The PDPTW is an optimization vehicles routing problem which must meet requests for transport between suppliers and customers satisfying precedence, capacity and time constraints....
Imen Harbaoui Dridi, Ryan Kammarti, Pierre Borne, ...
DMIN
2006
142views Data Mining» more  DMIN 2006»
13 years 8 months ago
Parallel Hybrid Clustering using Genetic Programming and Multi-Objective Fitness with Density (PYRAMID)
Clustering is the process of locating patterns in large data sets. It is an active research area that provides value to scientific as well as business applications. Practical clust...
Junping Sun, William Sverdlik, Samir Tout
IPPS
2005
IEEE
14 years 19 days ago
Dynamic Task Scheduling using Genetic Algorithms for Heterogeneous Distributed Computing
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous processors in a distributed system. The scheduler operates in an environment with dyna...
Andrew J. Page, Thomas J. Naughton