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» Function Optimization with Coevolutionary Algorithms
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TMC
2011
127views more  TMC 2011»
15 years 1 months ago
Discriminant Minimization Search for Large-Scale RF-Based Localization Systems
— In large-scale fingerprinting localization systems, fine-grained location estimation and quick location determination are conflicting concerns. To achieve finer-grained loc...
Sheng-Po Kuo, Yu-Chee Tseng
ICONIP
2007
15 years 8 months ago
Using Generalization Error Bounds to Train the Set Covering Machine
In this paper we eliminate the need for parameter estimation associated with the set covering machine (SCM) by directly minimizing generalization error bounds. Firstly, we consider...
Zakria Hussain, John Shawe-Taylor
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
16 years 19 days ago
Distribution replacement: how survival of the worst can out perform survival of the fittest
A new family of "Distribution Replacement” operators for use in steady state genetic algorithms is presented. Distribution replacement enforces the members of the populatio...
Howard Tripp, Phil Palmer
BMCBI
2006
120views more  BMCBI 2006»
15 years 6 months ago
Projections for fast protein structure retrieval
Background: In recent times, there has been an exponential rise in the number of protein structures in databases e.g. PDB. So, design of fast algorithms capable of querying such d...
Sourangshu Bhattacharya, Chiranjib Bhattacharyya, ...
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
16 years 19 days ago
Methodology to select solutions from the pareto-optimal set: a comparative study
The resolution of a Multi-Objective Optimization Problem (MOOP) does not end when the Pareto-optimal set is found. In real problems, a single solution must be selected. Ideally, t...
José C. Ferreira, Carlos M. Fonseca, Ant&oa...