Salp swarm algorithm: survey, analysis, and new applications حسب Abualigah, Laith

"…This chapter offers the sea salmon-associated polyp (SALP) swarm algorithm (SSA) and multipurpose SSA (MSSA) as new optimization algorithms for solving optimization problems with single and multiple objectives. …"
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Social spider optimization algorithm: survey and new applications حسب Abualigah, Laith

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A New Penalty Function Algorithm For Convex Quadratic Programming حسب Bendaya, M.

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A new family of multi-step quasi-Newton algorithms for unconstrained optimization حسب Obeid, Samir

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A new ordering and grouping algorithm for the linear weighted group matched filter successive interference cancellation detector حسب Bentrcia, A.

"…Moreover, a new ordering and grouping algorithm that results in a higher convergence speed is proposed. …"
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Applications of Kepler Algorithm-Based Controller for DC Chopper: Towards Stabilizing Wind Driven PMSGs under Nonstandard Voltages حسب Basiony Shehata Atia (21398774)

Kernelization algorithms for the vertex cover problem حسب Abu-Khzam, Faisal N.

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A new estimator and approach for estimating the subpopulation parameters حسب Mohammad Salehi M. (21259490)

"…<p dir="ltr">Based on some theoretical results, we recommend a new algorithm for estimating the total and mean of a subpopulation variable for the case of a known subpopulation size, which is different from the algorithm recommended by most of sampling books. …"

An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling حسب ALKETBI, SAIF

"…Results proofed effectiveness and outperformance of the proposed solution. The genetic algorithm was tested on several projects from the existing databases and on one new project to the validity of the approach. …"
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Incremental & classical genetic algorithm. (c2001) حسب Awad, Mohamad M.

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Intelligent Rapidly-Exploring Random Tree Star Algorithm حسب Ahmed, Khidir Galal Eldin Khidir

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Spectrum Sensing Algorithms for Cooperative Cognitive Radio Networks حسب Hassan, Yasmin Adel

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Multiobjective Evolutionary Algorithms for Electric Power Dispatch Problem حسب Abido, M. A.

"…Specifically, nondominated sorting genetic algorithm, niched Pareto genetic algorithm, and strength Pareto evolutionary algorithm (SPEA) have been developed and successfully applied to an environmental/economic electric power dispatch problem. …"
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Multiobjective evolutionary algorithms for electric power dispatch problem حسب Abido, M.A.

"…Specifically, nondominated sorting genetic algorithm, niched Pareto genetic algorithm, and strength Pareto evolutionary algorithm (SPEA) have been developed and successfully applied to an environmental/economic electric power dispatch problem. …"
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A Scatter search algorithm for exam scheduling. (c2006) حسب Isahakian, Vatche Raffi

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A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units حسب El-Amin, I.

"…A new heuristic algorithm based on the Tabu search has been proposed for the maintenance schedule (MS) of electric generation units. …"
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A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units حسب Duffuaa, S. O.

"…A new heuristic algorithm based on the Tabu search has been proposed for the maintenance schedule (MS) of electric generation units. …"
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Using genetic algorithms to optimize software quality estimation models حسب Azar, Danielle

"…Hence, the accuracy of the models often deteriorates significantly when they are used to classify new data. This thesis explores the use of genetic algorithms for the problem of optimizing existing rule-based software quality estimation models. …"
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A new approach and faster exact methods for the maximum common subgraph problem حسب Abu-Khzam, Faisal N.

"…MCS is frequently solved by reduction to the problem of finding a maximum clique in the order mn association graph, which is a particular form of product graph built from the inputs. In this paper a new algorithm, termed “clique branching,” is proposed that exploits a special structure inherent in the association graph. …"
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An ant colony optimization algorithm to improve software quality prediction models حسب Azar, D.

"…Method This paper presents an adaptive approach that takes already built predictive models and adapts them (one at a time) to new data. We use an ant colony optimization algorithm in the adaptation process. …"
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