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» Solving Hierarchical Optimization Problems Using MOEAs
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120
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EMO
2009
Springer
219views Optimization» more  EMO 2009»
15 years 10 months ago
An Elitist GRASP Metaheuristic for the Multi-objective Quadratic Assignment Problem
We propose an elitist Greedy Randomized Adaptive Search Procedure (GRASP) metaheuristic algorithm, called mGRASP/MH, for approximating the Pareto-optimal front in the multi-objecti...
Hui Li, Dario Landa Silva
121
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SIAMSC
2008
145views more  SIAMSC 2008»
15 years 3 months ago
Fast Multilevel Algorithm for a Minimization Problem in Impulse Noise Removal
An effective 2-phase method for removing impulse noise was recently proposed. Its phase 1 identifies noisy pixel candidates by using median-type filters. Then in phase 2, it resto...
Raymond H. Chan, Ke Chen 0002
110
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CORR
2002
Springer
111views Education» more  CORR 2002»
15 years 3 months ago
The Fastest and Shortest Algorithm for All Well-Defined Problems
An algorithm M is described that solves any well-defined problem p as quickly as the fastest algorithm computing a solution to p, save for a factor of 5 and loworder additive term...
Marcus Hutter
125
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EAAI
2010
107views more  EAAI 2010»
14 years 10 months ago
Honey bee social foraging algorithms for resource allocation: Theory and application
A model of honey bee social foraging is introduced to create an algorithm that solves a class of optimal resource allocation problems. We prove that if several such algorithms (&q...
Nicanor Quijano, Kevin M. Passino
151
Voted
INFOCOM
2012
IEEE
13 years 6 months ago
Maximizing system throughput by cooperative sensing in Cognitive Radio Networks
—Cognitive Radio Networks allow unlicensed users to opportunistically access the licensed spectrum without causing disruptive interference to the primary users (PUs). One of the ...
Shuang Li, Zizhan Zheng, Eylem Ekici, Ness B. Shro...