Using ACCESSIBILITY to assess the performance of generalized hill climbing algorithms

作者: Enver Yücesan , Sheldon H. Jacobson

DOI: 10.5555/293172.293303

关键词: Hill climbingNegative probabilitySearch problemHeuristicsAlgorithmConvergence (routing)A priori and a posterioriMathematicsDiscrete event simulationMachine learningMathematical optimizationEvent (probability theory)Artificial intelligence

摘要: The search problem, ACCESSIBILITY, asks whether a finite sequence of events can be found such that, starting with specific initial event, particular state reached. This problem is intractable, indicating the need for heuristics to address it. One difficulty when applying ACCESSIBILITY assessing priori their effectiveness, and knowing how best adjust them improve performance. paper introduces false negative probability as performance measure generalized hill climbing algorithms applied discrete optimization problems, using analysis framework. also used obtain necessary convergence conditions. implications these results on GHC effectively are discussed.

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