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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…
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Related topics
Related topics
3 relations
Hill climbing
Stochastic gradient descent
Stochastic optimization
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Stochastic Methods for One-Sided Bipartite Crossing Minimization and its Variants
Tanya Jeffries
2016
Corpus ID: 27375259
The one-sided bipartite graph drawing problem has been extensively studied in the graph drawing literature, with numerous papers…
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2015
2015
How Random Is Spatiotemporal Chaos of Langton's Ant?1
I. D. Luptáková I.
,
Jiri Pospíchal
2015
Corpus ID: 56391819
Abstract In recent years there have been numerous attempts to control chaotic behavior by evolutionary optimization. Most of…
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2015
2015
Workload-Aware Resource Reservation for Multi-tenant NoSQL
Jiaan Zeng
,
Beth Plale
IEEE International Conference on Cluster…
2015
Corpus ID: 7653439
Cloud hosted NoSQL data stores are for economic reasons often shared amongst multiple tenants simultaneously. The NoSQL provider…
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2013
2013
Mastermind solver dengan menggunakan algoritma stochastic hill climbing = Mastermind solver using stochastic hill climbing algorithm
K. S. Jaya
2013
Corpus ID: 215976014
This thesis discusses the development of artificial intelligence that can be implemented into a game. In this thesis, the game…
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2007
2007
Efficient-Discarding Fitness Functions
A. Rosete-Suárez
2007
Corpus ID: 17867912
In the last 30 years, a lot of effort has been dedicated to develop robust optimization methods like Evolutionary Algorithms…
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2004
2004
Optimization of the flapping and feathering motions of a robotic bird using "stochastic hill-climbing method"
Y. Kawamura
,
Nobuki Kusuhashi
IEEE/RJS International Conference on Intelligent…
2004
Corpus ID: 18604595
Aerodynamic lift forces generated by the combination of the flapping and feathering motions of a robotic bird have been…
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2002
2002
Analysis of STAGE Algorithm Based on Solving Bin Packing Problem
Gholamreza Haffari
,
S. Shouraki
International Conference on Machine Learning and…
2002
Corpus ID: 14208478
Previous researches have shown the success of using Reinforcement Learning in solving combinatorial optimization problems. The…
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1994
1994
A comparison of neural networks, linear controllers, genetic algorithms and simulated annealing for real time control
M. Chiaberge
,
J. J. M. Guervós
,
L. Reyneri
,
A. Prieto
,
L. Zocca
The European Symposium on Artificial Neural…
1994
Corpus ID: 13127538
1 This paper reports a performance comparison between traditional (linear PID controller) and cognitive methods (neural networks…
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1994
1994
Evolutionary solutions to a highly constrained combinatorial problem
R. Piola
Proceedings of the First IEEE Conference on…
1994
Corpus ID: 39903472
Scheduling under constraints is a NP-problem which is found in many practical applications such as the job shop scheduling and…
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1993
1993
Algorithms for Pinball Simulation, Ball Tracking and Learning Flipper Control
M. P. Johnson
1993
Corpus ID: 60782060
In this thesis, I describe the creation of a real-time pinball simulation, trajectory prediction system and real-time computer…
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