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» Optimization by Stochastic Continuation
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GECCO
2008
Springer
142views Optimization» more  GECCO 2008»
15 years 4 months ago
Complexity of Max-SAT using stochastic algorithms
Hill-climbing has been shown to be more effective than exhaustive search in solving satisfiability problems.Also, it has been used either by itself or in combination with other ...
Mohamed Qasem, Adam Prügel-Bennett
114
Voted
AUTOMATICA
2006
83views more  AUTOMATICA 2006»
15 years 3 months ago
A stochastic control model of economic growth with environmental disaster prevention
This paper proposes a capital accumulation model with a random stopping time corresponding to the occurrence of an environmental catastrophe. Depending on the preventive capital s...
Alain Haurie, Francesco Moresino
158
Voted
CPHYSICS
2006
182views more  CPHYSICS 2006»
15 years 3 months ago
MinFinder: Locating all the local minima of a function
A new stochastic clustering algorithm is introduced that aims to locate all the local minima of a multidimensional continuous and differentiable function inside a bounded domain. ...
Ioannis G. Tsoulos, Isaac E. Lagaris
ALMOB
2006
155views more  ALMOB 2006»
15 years 3 months ago
Refining motifs by improving information content scores using neighborhood profile search
The main goal of the motif finding problem is to detect novel, over-represented unknown signals in a set of sequences (e.g. transcription factor binding sites in a genome). The mo...
Chandan K. Reddy, Yao-Chung Weng, Hsiao-Dong Chian...
170
Voted
EVOW
2010
Springer
15 years 2 months ago
Finding Gapped Motifs by a Novel Evolutionary Algorithm
Background: Identifying approximately repeated patterns, or motifs, in DNA sequences from a set of co-regulated genes is an important step towards deciphering the complex gene reg...
Chengwei Lei, Jianhua Ruan