An algorithm for solving bond pricing problem by Dibeh, Ghassan

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Towards a self-powering greenhouse using semi-transparent PV: Utilizing hybrid BESS-hydrogen energy storage system by Gholami, Mohammadreza

“…Second, by employing a comprehensive approach with the GBO algorithm, the research examines various scenarios as a multi-objective optimization problem, balancing economic considerations such as net present value (NPV) and energy dependency (ED). …”
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Squirrel Search Algorithm for Portfolio Optimization by Dhaini, Mahdi

“…However, the successes of nature-inspired algorithms in hard computational optimization problems have encouraged researchers to design and apply these algorithms for a variety of optimization problems. …”
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An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling by ALKETBI, SAIF

“…The proposed algorithm out performed fairly well the results that exists from previous studies. …”
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The Role of KM in Enhancing AI Algorithms and Systems by AlGhanem, Hani

“…Knowledge Management processes present a vital role in improving AI systems and algorithms. …”
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Parallel genetic algorithm for disease-gene association by Mansour, Nashat

“…In this work, we combine few successful strategies from the literature and present a parallel genetic algorithm for the Tag SNP Selection problem. …”
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NEW ALGORITHMS FOR SOLVING THE FUZZY CLUSTERING PROBLEM by Kamel, M.S.

“…Two new algorithms for fuzzy clustering are presented. Convergence of the proposed algorithms is proved. …”
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Particle swarm optimization algorithm: review and applications by Abualigah, Laith

“…Particle swarm optimization (PSO) is a heuristic global optimization technique and an optimization algorithm that is swarm intelligence-based. It is based on studies into the movement of bird flocks. …”
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Formal synthesis of VLSI layouts from algorithmic specifications by Sait, Sadiq M.

“…This formal high level syntesis system uses recursive algorithms to model the behaviour to be synthesized. …”
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Belief selection in point-based planning algorithms for POMDPs by Azar, Danielle

“…We study three methods designed to improve point-based value iteration algorithms. …”
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A new approach to record clustering for large databases. (c1997) by Makhoulian, Raffi H.

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An improved quorum selection algorithm (IQSA). (c2007) by Younes, Samer

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Animal migration optimization algorithm: novel optimizer, analysis, and applications by Abualigah, Laith

“…In this paper, we present an overview of the AMO algorithm, describe the algorithm procedure, summarize some of the recent works and applications that use AMO algorithms, classify these works in many application domains, and display the robustness points, weak points, and limitations for AMO. …”
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A method for test scheduling using an evolutionary approach. (c2000) by Noujaim, Jad

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Multiclass feature selection with metaheuristic optimization algorithms: a review by Abu Zitar, Raed

“…Popular multiclass classifiers for feature selection were also examined. Moreover, we also presented the challenges of metaheuristic algorithms for feature selection, and we identified gaps for further research studies.…”
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Approximation and heuristic algorithms for computing backbones in asymmetric ad-hoc networks by Abu-Khzam, Faisal N.

“…Moreover, we present a simple distributed heuristic algorithm and conduct an extensive simulation study showing that our heuristic outperforms previously known approaches for the problem.…”
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A distributed genetic algorithm for deterministic and stochastic labor scheduling problems by Mansour, Nashat

“…In plots of solution quality versus CPU time for the various algorithms evaluated in our study, DGA consistently appeared on the efficient frontier.…”
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Scalable parallel algorithms for dynamic programming on tree decomposition. (c2017) by Yassine, Mohamad M.

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An enhanced k-means clustering algorithm for pattern discovery in healthcare data by Haraty, Ramzi A.

“…Data mining approaches offer the methodology and technology to transform these heterogeneous data into meaningful information for decision making. This paper studies data mining applications in healthcare. Mainly, we study k-means clustering algorithms on large datasets and present an enhancement to k-means clustering, which requires k or a lesser number of passes to a dataset. …”
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Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms by Zhongqiang Ma (13765801)

“…Moreover, the other 10 new algorithms are rougher (i.e., present in their behavior with high oscillations) in terms of the trade-off between exploitation and exploration and population diversity compared with the 4 state-of-the-art algorithms. …”