A Novel Iterative non-Deterministic Algorithm for the Data Clustering Problem by unknown

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Evolutionary algorithms for state justification in sequential automatic test pattern generation by El-Maleh, Aiman H.

“…In this work, a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification is proposed. …”
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An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation by El-Maleh, Aiman H.

“…State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …”
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An evolutionary meta-heuristic for state justification insequential automatic test pattern generation by El-Maleh, A.H.

“…State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …”
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An Iterative Heuristic for State Justi�cation in Sequential Automatic Test Pattern Generation by El-Maleh, Aiman H.

“…For states that are difficult to justify, deterministic algorithms take significant CPU time without much success most of the time. …”
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Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach by Sarif, Bambang

“…The search space is too large to be explored by deterministic algorithms. In this paper, a Genetic Algorithm based algorithm for synthesis of MVL functions is proposed. …”
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Designing Cellular Mobile Networks Using Non{Deterministic Iterative Heuristics by Sait, Sadiq M.

“…As a classic instance of the NP-hard Quadratic Assignment Problem (QAP), deterministic algorithms are incapable of nding optimal solutions in the vast complex search space in polynomial time. …”
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