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EMO
2003
Springer
86views Optimization» more  EMO 2003»
15 years 8 months ago
No Free Lunch and Free Leftovers Theorems for Multiobjective Optimisation Problems
Abstract. The classic NFL theorems are invariably cast in terms of single objective optimization problems. We confirm that the classic NFL theorem holds for general multiobjective ...
David Corne, Joshua D. Knowles
135
Voted
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
15 years 4 months ago
Application domain study of evolutionary algorithms in optimization problems
This paper deals with the problem of comparing and testing evolutionary algorithms, that is, the benchmarking problem, from an analysis point of view. A practical study of the app...
Pilar Caamaño, Francisco Bellas, José...
KDD
2008
ACM
172views Data Mining» more  KDD 2008»
16 years 3 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
163
Voted
ALGOSENSORS
2009
Springer
15 years 10 months ago
Improved Approximation Algorithms for Maximum Lifetime Problems in Wireless Networks
A wireless ad-hoc network is a collection of transceivers positioned in the plane. Each transceiver is equipped with a limited battery charge. The battery charge is then reduced a...
Zeev Nutov, Michael Segal
AAAI
2008
15 years 5 months ago
Physical Search Problems Applying Economic Search Models
This paper considers the problem of an agent searching for a resource or a tangible good in a physical environment, where at each stage of its search it observes one source where ...
Yonatan Aumann, Noam Hazon, Sarit Kraus, David Sar...