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Global optimization performance measures for generalized hill climbing algorithms
Sheldon H. Jacobson
, Enver Yücesan
Mathematics
Industrial and Enterprise Systems Engineering
Electrical and Computer Engineering
Statistics
Biomedical and Translational Sciences
Siebel School of Computing and Data Science
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Keyphrases
Algorithm Performance
33%
Asymptotic Convergence
33%
Convergence in Probability
33%
Discrete Optimization Problem
33%
Global Optimization
100%
Global Optimum
66%
Hill Climbing
100%
Local Search Algorithm
33%
Monte Carlo Search
33%
Performance Measures
100%
Performance Optimization
100%
Search Strategy
33%
Threshold Accepting
66%
Mathematics
Asymptotics
50%
Convergence in Probability
50%
Global Optimum
100%
Local Search
50%
Monte Carlo
50%
Performance Measure
100%
Search Algorithm
50%
Search Strategies
50%
Simple Form
50%
Computer Science
Algorithm Performance
33%
Discrete Optimization
33%
Global Optimization
100%
Hill Climbing
100%
Local Search Algorithm
33%
Monte Carlo Search
33%
Optimization Problem
33%
Performance Measure
100%
Search Strategies
33%