Parallel scatter search algorithms for exam timetabling. (c2009) by Haidar, Ghia Abdullah Sleiman

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A Survey of cuckoo search algorithm: optimizer and new applications by Abualigah, Laith

“…Cuckoo search (CS) is an efficient swarm intelligence-based algorithm that has come a long way since its start in 2009. …”
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A Tabu Search-Based Algorithm For The Fuzzy Clustering Problem by AlSultan, K.S.

“…We compare the performance of the algorithm with the fuzzy Cmeans algorithm.…”
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A Scatter search algorithm for exam scheduling. (c2006) by Isahakian, Vatche Raffi

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A decentralized load balancing strategy for parallel search-three optimization. (c2010) by Mouawad, Amer E.

Subjects: “…Trees (Graph theory) -- Data processing…”
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Upgraded SemIndex Prototype Supporting Intelligent Database Keyword Queries through Disambiguation, Query as You Type, and Parallel Search Algorithms by Tekli, Joe

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A new simulated annealing-based tabu search algorithm for unitcommitment by Mantawy, A.H.

“…The algorithm integrates the use of simulated annealing (SA) and tabu search (TS) for solving the UCP. …”
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An Efficient Tabu Search Algorithm For The Single-Machine Mean Tardiness Problem by Bendaya, M.

“…In this paper, an efficient tabu search algorithm is prepared ibr solving the singlemachine mean tardiness problem. …”
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Integrating genetic algorithms, tabu search, and simulatedannealing for the unit commitment problem by Mantawy, A.H.

“…This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulated annealing methods to solve the unit commitment problem. …”
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Evolutionary algorithms, simulated annealing and tabu search: a comparative study by Youssef, H.

“…Abstract Evolutionary algorithms, simulated annealing (SA), and tabu search (TS) are general iterative algorithms for combinatorial optimization. …”
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A Graph Heuristic Approach for the Data Path Allocation Problem by Makhoul, Racha

Subjects: “…Electronic circuits -- Data processing…”
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A new tabu search algorithm for the long-term hydro scheduling problem by Mantawy, A.H.

“…The algorithm is based on using the short-term memory of the tabu search (TS) approach to solve the nonlinear optimization problem in continuous variables of the LTHSP. …”
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A New Genetic-Based Tabu Search Algorithm For Unit Commitment Problem by Mantawy, A. H.

“…This paper presents a new algorithm based on integrating the use of genetic algorithms and tabu search methods to solve the unit commitment problem. …”
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Integrating Genetic Algorithms, Tabu Search, And Simulated Annealing For The Unit Commitment Problem by Montawy, A.H.

“…This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulated annealing methods to solve the unit commitment problem. …”
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Scalable parallel algorithms for dynamic programming on tree decomposition. (c2017) by Yassine, Mohamad M.

Subjects: “…Trees (Graph theory) -- Data processing…”
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Estimating Construction Project Duration Using a Machine Learning Algorithm by Nasr, Joshua

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An image processing and genetic algorithm-based approach for the detection of melanoma in patients by Tokajian, Sima

“…The second phase classifies lesions using a Genetic Algorithm. Our technique shows a significant improvement over other well-known algorithms and proves to be more stable on both training and testing data.…”
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Editorial on the Special Section on Algorithms, Circuits, and Systems for Signal Processing at the Edge by Leonel Sousa (19645372)

“…<p dir="ltr">Technological trends alongside with the unprecedented growth of the data generated by devices sparsely distributed, most of them mobile devices, cannot be supported by traditional approaches and processing systems. …”

Public health utility of cause of death data: applying empirical algorithms to improve data quality by Sarah Charlotte Johnson (9715415)

Fuzzy Logic Adaptive Crow Search Algorithm for MPPT of a Partially Shaded Photovoltaic System by Mohamed Ali Zeddini (22047920)

“…<p dir="ltr">The arbitrary selection of the Crow Search Algorithm (CSA) parameters, the Awareness Probability (AP) and the Flight Length (fl) results in poor convergence performance and efficiency even if the CSA performs well when solving global optimization problems. …”