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» Parallelism and evolutionary algorithms
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151
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CEC
2010
IEEE
14 years 7 months ago
Revisiting Evolutionary Information Filtering
— Adaptive Information Filtering seeks a solution to the problem of information overload through a tailored representation of the user’s interests, called user profile, which ...
Nikolaos Nanas, Stefanos Kodovas, Manolis Vavalis
128
Voted
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
15 years 9 months ago
A multi-objective evolutionary approach to peptide structure redesign and stabilization
The prediction of the native structures of proteins, the socalled protein folding problem, is a NP hard multi-minima optimization problem for which to date no routine solutions ex...
Tim Hohm, Daniel Hoffmann
119
Voted
GECCO
2007
Springer
136views Optimization» more  GECCO 2007»
15 years 7 months ago
Configuring an evolutionary tool for the inventory and transportation problem
EVITA, standing for Evolutionary Inventory and Transportation Algorithm, aims to be a commercial tool to address the problem of minimising both the transport and inventory costs o...
Anna Esparcia-Alcázar, Lidia Lluch-Revert, ...
135
Voted
RECSYS
2010
ACM
15 years 3 months ago
Incremental collaborative filtering via evolutionary co-clustering
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
Mohammad Khoshneshin, W. Nick Street
GECCO
2004
Springer
112views Optimization» more  GECCO 2004»
15 years 9 months ago
Some Issues on the Implementation of Local Search in Evolutionary Multiobjective Optimization
This paper discusses the implementation of local search in evolutionary multiobjective optimization (EMO) algorithms for the design of a simple but powerful memetic EMO algorithm. ...
Hisao Ishibuchi, Kaname Narukawa