Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm حسب Zerguine, A.

"…In this work, the convergence analysis of the variable weight mixed-norm LMS-LMF (least mean squares-least mean fourth) adaptive algorithm is derived. The proposed algorithm minimizes an objective function defined as a weighted sum of the LMS and LMF cost functions where the weighting factor is time varying and adapts itself so as to allow the algorithm to keep track of the variations in the environment. …"
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Integrating genetic algorithms, tabu search, and simulatedannealing for the unit commitment problem حسب Mantawy, A.H.

"…The fitness function is constructed from the total operating cost of the generating units without penalty terms. …"
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Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images حسب Abu Zitar, Raed

"…The solutions are evaluated using Otsu's fitness function throughout the optimization process. The picture histogram is used to display the algorithm's potential solutions. …"
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A New Genetic-Based Tabu Search Algorithm For Unit Commitment Problem حسب Mantawy, A. H.

"…A fitness function is constructed from the total operating cost of the generating units without penalty terms. …"
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Integrating Genetic Algorithms, Tabu Search, And Simulated Annealing For The Unit Commitment Problem حسب Montawy, A.H.

"…The fitness function is constructed from the total operating cost of the generating units without penalty terms. …"
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Incremental and Heuristic Algorithms for Deriving Adaptive Distinguishing Test Cases for Nondeterministic Finite State Machines حسب Saleh, Ayat

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Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm حسب Youssef, H.

"…In this paper, we present an approach based on Simulated Evolution algorithm for the design of SEN topology. The overall cost function has been developed using fuzzy logic. …"
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Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm حسب Youssef, H.

"…In this paper, we present an approach based on Simulated Evolution algorithm for the design of SEN topology. The overall cost function has been developed using fuzzy logic. …"
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Scatter search for protein structure prediction. (c2008) حسب Kehyayan, Christine Houry

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Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link حسب Bayan Hussein (16904856)

"…An optimization problem is formulated with data rate and BER in the cost function while maintaining energy and power constraints. …"

An efficient failure-resilient mutual exclusion algorithm for distributed systems leveraging a novel zero-message overlay structure حسب Mouna Rabhi (17086969)

"…The current tree-based ME algorithms often overlook considerations for node/link failures or offer costly methods for failure recovery. …"

Improved scatter search algorithm for predicting all-atoms protein structures using charmm22 energy model. (c2010) حسب Ghalayini, Iman Adnan

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STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization حسب Muhammad Salman Khan (7202543)

Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm حسب Abdelbasset Krama (16870008)

"…<p dir="ltr">This paper proposes a high performance control scheme for a double function grid-tied double-stage PV system. It is based on model predictive power control with space vector modulation. …"

Neural Networks as a Convex Problem حسب Khalil, Baha

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A novel AI approach for optimal deployment of EV fast charging station and reliability analysis with solar based DGs in distribution network حسب Fareed Ahmad (134672)

A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT حسب Dhananjay Bisen (19482454)

"…The proposed model determines a training dataset by covering all the aspects of cost function calculation. This training dataset helps to train the model, which allows for efficient decision-making in optimum energy usage. …"

A combined resource allocation framework for PEVs charging stations, renewable energy resources and distributed energy storage systems حسب Kandil, Sarah M.

"…The formulation employs a general objective function that optimizes the total Annual Cost of Energy (ACOE). …"
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Multi-Cluster Jumping Particle Swarm Optimization for Fast Convergence حسب Atiq Ur Rehman (8843024)

"…Each cluster in the swarm has its own cluster best position which is the best position within a cluster and the global best position is located by clusters communication. …"

A Quasi-Oppositional Method for Output Tracking Control by Swarm-Based MPID Controller on AC/HVDC Interconnected Systems With Virtual Inertia Emulation حسب Iman M. Hosseini Naveh (16891482)

"…The role of the proposed quasi oppositional based SMPID controller is to modify the tracking strategy on AC/HVDC interconnected systems while reducing the related cost function. The proposed analysis is established considering the most highly cited, well-known tested and newly expanded swarm-based optimization algorithms (SBOAs), such as Grasshopper Optimization Algorithm (GOA), Grey Wolf Optimization (GWO), Artificial Fish Swarm Algorithm (AFSA), Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). …"