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

“…Metaheuristic algorithms have also been presented in four primary behavior-based categories, i.e., evolutionary-based, swarm-intelligence-based, physics-based, and human-based, even though some literature works presented more categorization. …”
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Parallel physical optimization algorithms for allocating data to multicomputer nodes by Mansour, Nashat

“…Three parallel physical optimization algorithms for allocating irregular data to multicomputer nodes are presented. …”
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An evolutionary algorithm for solving the geometrically constrained site layout problem by Zouein, P.

“…This paper presents an investigation of applying an evolutionary approach to optimally solve the aforementioned layout problem. …”
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A method for the minimum coloring problem using genetic algorithms by Harmanani, Haidar

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Assessment of static pile design methods and non-linear analysis of pile driving by Abou-Jaoude, Grace G.

“…The pile/soil interaction system is described by a mass/spring/dashpot system where the properties of each component are derived from rigorous analytical solutions or finite element analysis. The outcome of this research is an algorithm that can be used to predict pile displacement and driving stresses. …”
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A method for optimizing test bus assignment and sizing for system-on-a-chip by Harmanani, Haidar M.

“…Test access mechanism (TAM) is an important element of test access architectures for embedded cores and is responsible for on-chip test patterns transport from the source to the core under test to the sink. …”
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DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data by Assaf, Ali

“…Distributed clustering algorithms, however, can fulfil this gap. They extract a classification model from the distributed objects even when they are in different sites and locations. …”
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Approximation and heuristic algorithms for computing backbones in asymmetric ad-hoc networks by Abu-Khzam, Faisal N.

“…We present a first distributed approximation algorithm for this problem. …”
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A distributed genetic algorithm for deterministic and stochastic labor scheduling problems by Mansour, Nashat

“…The pervasiveness and economic significance of these three problems has motivated ongoing development and refinement of heuristic solution procedures. In this paper we present a unified formulation for these three labor scheduling problems and introduce a distributed genetic algorithm (DGA) that solves each of them. …”
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Evolutionary algorithms for state justification in sequential automatic test pattern generation by El-Maleh, Aiman H.

“…A common search operation in sequential Automatic Test Pattern Generation is to justify a desired state assignment on the sequential elements. 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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Efficient heuristic algorithms for influence propagation in social networks. (c2018) by Lamaa, Karine H.

“…Then we introduce the notion of an influence propagation function and use it to design an efficient algorithm across all types of networks. Finally, we introduce a new model that allows the maximization of influence propagation while selecting a much smaller set of influencers. …”
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A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs† by Harmanani, Haidar

“…This paper presents a hardware implementation to solve the graph colouring problem (chromatic number χ(G)) for arbitrary graphs using the Hopfield neural network (HNN) model of computation. …”
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Modelling And Analysis Of A Multi-Stage Order Quantity Model by Andijani, A. A.

“…A single-item, multi-stage serial order quantity (MSOQ) model with constant demand is discussed. An algorithm to determine the relationship between the lot sizes of the MSOQ model is also developed. …”
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Metaheuristic algorithm for testing web 2.0 applications. (c2012) by Zeitunlian, Hratch Michel

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Using Machine Learning Algorithms to Forecast Solar Energy Power Output by Ali Jassim Lari (22597940)

“…<p dir="ltr">Solar energy is an inherently variable energy resource, and the ensuing uncertainty in matching energy demand presents a challenge in its operational use as an alternative energy source. …”

Efficient O(n) BIST algorithms for DDNPS faults in dual portmemories by Amin, A.A.

“…Architectural modifications which enhance testability with minimal overhead on both silicon area and device performance are described. New fault models for both the memory array and the address decoders are proposed and efficient O(n) test algorithms are presented. …”
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Correlation Clustering via s-Club Cluster Edge Deletion by Makarem, Norma

“…The problem can be solved in time O(4k). We present a first fixed-parameter algorithm that breaks this 4k barrier by solving the problem in O(3.65k) time. …”
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L-2 Gap-Metric-Based Identification Algorithms For Linear Feedback Systems by Al-Amer, Samir

“…In this paper, we propose two algorithms to identify linear feedback systems. The parameters of the model are obtained to minimize the L-2-gap between the observed true system and the identified model. …”
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A new family of multi-step quasi-Newton algorithms for unconstrained optimization by Obeid, Samir

“…It concentrates on deriving a variable-metric family of minimum curvature algorithms for unconstrained optimization. The derivation is based on considering a rational model, with a certain tuning parameter, where the aim is to develop a general framework that encompasses all possible two-step minimum curvature algorithms generated by appropriate parameter choices. …”
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Genetic Algorithm for Solving Site Layout Problem with Unequal-Size and Constrained Facilities by Zouein, P. P.

“…This paper presents an investigation of the applicability of a genetic approach for solving the construction site layout problem. …”
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