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EMO
2005
Springer
110views Optimization» more  EMO 2005»
15 years 7 months ago
Parallelization of Multi-objective Evolutionary Algorithms Using Clustering Algorithms
Abstract. While Single-Objective Evolutionary Algorithms (EAs) parallelization schemes are both well established and easy to implement, this is not the case for Multi-Objective Evo...
Felix Streichert, Holger Ulmer, Andreas Zell
MOR
2010
120views more  MOR 2010»
15 years 6 hour ago
Proximal Alternating Minimization and Projection Methods for Nonconvex Problems: An Approach Based on the Kurdyka-Lojasiewicz In
We study the convergence properties of an alternating proximal minimization algorithm for nonconvex structured functions of the type: L(x, y) = f(x)+Q(x, y)+g(y), where f : Rn → ...
Hedy Attouch, Jérôme Bolte, Patrick R...
CDC
2008
IEEE
148views Control Systems» more  CDC 2008»
15 years 8 months ago
Distributed cut detection in sensor networks
— We propose a distributed algorithm to detect “cuts” in sensor networks, i.e., the failure of a set of nodes that separates the networks into two or more components. The alg...
Prabir Barooah
TSMC
2002
69views more  TSMC 2002»
15 years 1 months ago
A new learning algorithm for the hierarchical structure learning automata operating in the nonstationary S-model random environm
An extended algorithm of the relative reward strength algorithm is proposed. It is shown that the proposed algorithm ensures the convergence with probability 1 to the optimal path ...
Norio Baba, Yoshio Mogami
TFS
2008
120views more  TFS 2008»
15 years 1 days ago
Aggregation Using the Fuzzy Weighted Average as Computed by the Karnik-Mendel Algorithms
Abstract--By connecting work from two different problems-the fuzzy weighted average (FWA) and the generalized centroid of an interval type-2 fuzzy set--a new -cut algorithm for sol...
Feilong Liu, Jerry M. Mendel