Multiclass feature selection with metaheuristic optimization algorithms: a review حسب 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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A method for the minimum coloring problem using genetic algorithms حسب Harmanani, Haidar

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Parallel physical optimization algorithms for allocating data to multicomputer nodes حسب 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 حسب Zouein, P.

"…This paper presents an investigation of applying an evolutionary approach to optimally solve the aforementioned layout problem. …"
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Efficient O(n) BIST algorithms for DDNPS faults in dual portmemories حسب 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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Approximation and heuristic algorithms for computing backbones in asymmetric ad-hoc networks حسب 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 حسب 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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DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data حسب 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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Using Machine Learning Algorithms to Forecast Solar Energy Power Output حسب 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. …"

Modelling And Analysis Of A Multi-Stage Order Quantity Model حسب 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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A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs† حسب 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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Efficient heuristic algorithms for influence propagation in social networks. (c2018) حسب Lamaa, Karine H.

"…The problem seeks a smallest set of positive-influencers assuming that an individual becomes positively influenced when the majority of his/her friends are influenced. We start by presenting and studying efficient heuristic algorithms for this problem and show how different types of social networks require different heuristic methods. …"
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Metaheuristic algorithm for testing web 2.0 applications. (c2012) حسب Zeitunlian, Hratch Michel

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Second-order conic programming for data envelopment analysis models حسب Mourad, Nahia

"…This paper constructs a second-order conic optimization problem unifying several DEA models. Moreover, it presents an algorithm that solves the former problem, and provides a MATLAB function associated with it. …"
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L-2 Gap-Metric-Based Identification Algorithms For Linear Feedback Systems حسب 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 حسب Obeid, Samir

"…One member of the family is tested against earlier developed algorithms of the multi-step type. Performance improvement is evident in our presented results, thus verifying the importance of the minimum curvature framework…"
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Genetic Algorithm for Solving Site Layout Problem with Unequal-Size and Constrained Facilities حسب 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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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data حسب Behrouz Ahadzadeh (19757022)

"…To improve the effectiveness and efficiency of the UniBFS algorithm, Redundant Features Elimination algorithm (RFE) is presented in this paper. …"

A flexible genetic algorithm-fuzzy regression approach for forecasting: The case of bitumen consumption حسب Azadeh, Ali

"…This study aims to introduce a flexible genetic algorithm-fuzzy regression approach for forecasting the future bitumen consumption. …"
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Scatter search for homology modeling حسب Mansour, Nashat

"…Results obtained by our SS algorithm are compared with other approaches. The 3D models predicted by our algorithm show improved root mean standard deviations with respect to the native structures.…"
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