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GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
15 years 9 months ago
Phase transition in a random NK landscape model
An analysis for the phase transition in a random NK landscape model is given. For the fixed ratio model, NK(n, k, z), Gao and Culberson [17] showed that a random instance generat...
Sung-Soon Choi, Kyomin Jung, Jeong Han Kim
GECCO
2006
Springer
135views Optimization» more  GECCO 2006»
15 years 7 months ago
The no free lunch and realistic search algorithms
The No-Free-Lunch theorems (NFLTs) are criticized for being too general to be of any relevance to the real world scenario. This paper investigates, both formally and empirically, ...
Yossi Borenstein, Riccardo Poli
AAAI
2010
15 years 5 months ago
Parallel Depth First Proof Number Search
The depth first proof number search (df-pn) is an effective and popular algorithm for solving and-or tree problems by using proof and disproof numbers. This paper presents a simpl...
Tomoyuki Kaneko
WSCG
2004
142views more  WSCG 2004»
15 years 5 months ago
Metropolis Iteration for Global Illumination
This paper presents a stochastic iteration algorithm solving the global illumination problem, where the random sampling is governed by classical importance sampling and also by th...
László Szirmay-Kalos, Bálazs ...
CVPR
2009
IEEE
16 years 11 months ago
Global Connectivity Potentials for Random Field Models
Markov random field (MRF, CRF) models are popular in computer vision. However, in order to be computationally tractable they are limited to incorporate only local interactions a...
Sebastian Nowozin, Christoph H. Lampert