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111
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GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
15 years 6 months ago
Exploiting gradient information in numerical multi--objective evolutionary optimization
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...
Peter A. N. Bosman, Edwin D. de Jong
103
Voted
ISCAS
2005
IEEE
114views Hardware» more  ISCAS 2005»
15 years 6 months ago
Structured stochastic optimization strategies for problems with ill-conditioned error surfaces
—This paper compares the performance of several structured optimization strategies in adaptive signal processing problems that are characterized by ill-conditioned error surfaces...
S. Pal, Dean J. Krusienski, W. Kenneth Jenkins
124
Voted
IRREGULAR
1995
Springer
15 years 4 months ago
Parallel Search for Combinatorial Optimization: Genetic Algorithms, Simulated Annealing, Tabu Search and GRASP
In this paper, we review parallel search techniques for approximating the global optimal solution of combinatorial optimization problems. Recent developments on parallel implementa...
Panos M. Pardalos, Leonidas S. Pitsoulis, Thelma D...
85
Voted
IVC
2000
113views more  IVC 2000»
15 years 16 days ago
Matching disparate views of planar surfaces using projective invariants
Feature matching is a prerequisite to a wide variety of vision tasks. This paper presents a method that addresses the problem of matching disparate views of coplanar points and li...
Manolis I. A. Lourakis, Spyros T. Halkidis, Stelio...
LCN
2007
IEEE
15 years 7 months ago
Search Algorithms for Unstructured Peer-to-Peer Networks
Abstract—We study the performance of several search algorithms on unstructured peer-to-peer networks, both using classic search algorithms such as flooding and random walk, as w...
Reza Dorrigiv, Alejandro López-Ortiz, Pawel...