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GECCO
2008
Springer
363views Optimization» more  GECCO 2008»
13 years 8 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
ANOR
2005
93views more  ANOR 2005»
13 years 7 months ago
Looking Ahead with the Pilot Method
The pilot method as a meta-heuristic is a tempered greedy method aimed at obtaining better solutions while avoiding the greedy trap by looking ahead for each possible choice. Repea...
Stefan Voß, Andreas Fink, Cees Duin
CEC
2009
IEEE
14 years 2 months ago
Examination timetabling using late acceptance hyper-heuristics
— A hyperheuristic is a high level problem solving methodology that performs a search over the space generated by a set of low level heuristics. One of the hyperheuristic framewo...
Ender Özcan, Yuri Bykov, Murat Birben, Edmund...
GECCO
2009
Springer
133views Optimization» more  GECCO 2009»
14 years 3 days ago
Evolutionary codings and operators for the terminal assignment problem
Given a collection of terminals, each with a demand, a collection of concentrators, each with a capacity, and costs of connecting the terminals to the concentrators, the terminal ...
Bryant A. Julstrom
ISBRA
2010
Springer
13 years 6 months ago
A Consensus Tree Approach for Reconstructing Human Evolutionary History and Detecting Population Substructure
The random accumulation of variations in the human genome over time implicitly encodes a history of how human populations have arisen, dispersed, and intermixed since we emerged as...
Ming-Chi Tsai, Guy E. Blelloch, R. Ravi, Russell S...