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EOR
2008
200views more  EOR 2008»
15 years 3 months ago
General variable neighborhood search for the continuous optimization
We suggest a new heuristic for solving unconstrained continuous optimization problems. It is based on a generalized version of the variable neighborhood search metaheuristic. Diff...
Nenad Mladenovic, Milan Drazic, Vera Kovacevic-Vuj...
GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
15 years 9 months ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya
131
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WIAMIS
2009
IEEE
15 years 10 months ago
Comparative evaluation of spatial context techniques for semantic image analysis
In this paper, two approaches to utilizing contextual information in semantic image analysis are presented and comparatively evaluated. Both approaches make use of spatial context...
Georgios Th. Papadopoulos, Carsten Saathoff, Marci...
GECCO
2010
Springer
218views Optimization» more  GECCO 2010»
15 years 7 months ago
Cartesian genetic programming
This paper presents a new form of Genetic Programming called Cartesian Genetic Programming in which a program is represented as an indexed graph. The graph is encoded in the form o...
Julian Francis Miller, Simon L. Harding
GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
15 years 7 months ago
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
Janusz Wojtusiak, Ryszard S. Michalski