Implementation and Comparison of Particle Swarm Optimization and Genetic Algorithm Techniques in Combined Economic Emission Dispatch of an Independent Power Plant حسب Shahbaz Hussain (9765320)

High-Accurate Parameter Identification of PEMFC Using Advanced Multi-Trial Vector-Based Sine Cosine Meta-Heuristic Algorithm حسب Badreddine Kanouni (23073244)

Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization حسب Abu Zitar, Raed

"…The IPDOA performance was compared with the other 8 metaheuristic optimization algorithms and the testing showed its superiority over those techniques for solving this complex problem. …"
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Stochastic Search Algorithms for Exam Scheduling حسب Mansour, Nashat

"…A good exam schedule should aim to minimize conflicts and the two unfairness factors based on user-assigned weights to these three factors and subject to some constraints such as classrooms’ number and capacities. In this work, we use a modified weighted-graph coloring problem formulation and adapt two stochastic search algorithms for solving the problem. …"
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Incorporation of Robust Sliding Mode Control and Adaptive Multi-Layer Neural Network-Based Observer for Unmanned Aerial Vehicles حسب Zainab Akhtar (15192184)

"…Neural network-based methods tackle these problems by accurately approximating unknown nonlinearities through training on input-output data. This paper proposes an adaptive Multi-layer Neural Network (MLNN) Luenberger observer-based control for altitude and attitude tracking of a quadrotor UAV. …"

A simulated annealing algorithm for unit commitment حسب Mantawy, A.H.

"…This paper presents a simulated annealing algorithm (SAA) to solve the unit commitment problem (UCP). …"
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A kernelization algorithm for d-Hitting Set حسب Abu-Khzam, Faisal N.

"…For 3-Hitting Set, an arbitrary instance is reduced into an equivalent one that contains at most 5k2+k elements. This kernelization is an improvement over previously known methods that guarantee cubic-order kernels. …"
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An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling حسب ALKETBI, SAIF

"…The work presented in thesis add to the existing literature in a proposing the use of a genetic algorithm uncertain approach to resource- scheduling in projects. …"
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Artificial neural network algorithms. (c1999) حسب Ramadan, Samer N.

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Particle swarm optimization algorithm: review and applications حسب Abualigah, Laith

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A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm حسب Amirsajjad Rahmani (17541453)

An L2 Gap Metric Identification Algorithm حسب Al-Amer, Samir Hasan

"…Each iteration of the algorithm involves solving a weighted least squares approximation problem. …"
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Natural optimization algorithms for optimal regression testing حسب Mansour, Nashat

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Scalable parallel algorithms for difficult combinatorial problems حسب Abu-Khzam, Faisal N.

"…A novel combination of emergent algorithmic methods, powerful computational platforms and supporting infrastructure is described. …"
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A New Parallel Genetic Algorithm Model حسب Al-Somani, Turki F.

"…This paper presents an implementation of three Genetic Algorithm models for solving a reliability optimization problem for a redundancy system with several failure modes, a modification on a parallel a genetic algorithm model and a new parallel genetic algorithm model. …"
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Spider monkey optimizations: application review and results حسب Abualigah, Laith

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HVAC system attack detection dataset حسب Mariam Elnour (14147790)

A Robust Deep Learning Approach for Distribution System State Estimation with Distributed Generation حسب Kfouri, Ronald

"…The algorithms are tested on three different networks. The proposed approach solves the DSSE problem with limited measurements as inputs, which cannot be solved using conventional state estimation methods. …"
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A new genetic algorithm approach for unit commitment حسب Mantawy, A.H.

"…The problem under consideration includes two linked subproblems: a combinatorial optimization problem and a nonlinear programming problem. The former is solved using the proposed genetic algorithm while the latter problem is solved via a quadratic programming routine. …"
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A genetic algorithm for testable data path synthesis حسب Harmanani, H.

"…The approach is formulated as an allocation problem and solved using an efficient genetic algorithm that generates cost-effective testable designs. …"
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