Stochastic hill climbing

Stochastic hill climbing is a variant of the basic hill climbing method. While basic hill climbing always chooses the steepest uphill move… (More)
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Hadoop on datacentre is a popular analytical platform for enterprises. Cloud vendors host Hadoop clusters on the datacentre to… (More)
  • table 1
  • figure 3
  • figure 1
  • figure 2
  • table 3
Is this relevant?
2015
2015
Binary descriptors of image patches provide processing speed advantages and require less storage than methods that encode the… (More)
  • table 2
  • figure 1
  • table 1
  • figure 2
Is this relevant?
2013
2013
Recently, there is a growing interest in how to mitigate epidemic spreading through complex networks such as infection… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
Highly Cited
2013
Highly Cited
2013
Stochastic hill climbing algorithm is adapted to rapidly find the appropriate start node in the application mapping of network… (More)
  • figure 1
  • figure 2
  • figure 4
  • figure 5
  • figure 6
Is this relevant?
2007
2007
In this research, a smart lighting system based on a new autonomous distributed control method was developed to control lighting… (More)
  • figure 2
  • figure 1
  • figure 3
  • table I
  • figure 4
Is this relevant?
2003
2003
Parallel algorithms based on stochastic hill-climbing and parallel algorithms based on simple elements of a genetic algorithm for… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
2001
2001
Augmenting an existing network with additional links to achieve higher robustness and survivability plays an important role in… (More)
  • figure 1
  • figure 2
  • figure 3
  • table 2
Is this relevant?
Review
1999
Review
1999
In the literature of Evolutionary Computation, it is very strange to find papers where the results of Evolutionary Algorithms are… (More)
  • figure 1
  • figure 2
  • table 1
  • table 2
  • table 3
Is this relevant?
Review
1996
Review
1996
  • versionStephan, Rudlof
  • 1996
This paper describes a stochastic hill climbing algorithm named SHCLVND to optimize arbitrary vectorial < n ! < functions. It… (More)
  • figure 2
Is this relevant?