بدائل البحث:
algorithm both » algorithm aoa (توسيع البحث), algorithm its (توسيع البحث)
algorithm goa » algorithm fa (توسيع البحث), algorithm _ (توسيع البحث)
algorithms a » algorithms _ (توسيع البحث), algorithm _ (توسيع البحث), algorithm fa (توسيع البحث)
goa function » cost function (توسيع البحث)
algorithm both » algorithm aoa (توسيع البحث), algorithm its (توسيع البحث)
algorithm goa » algorithm fa (توسيع البحث), algorithm _ (توسيع البحث)
algorithms a » algorithms _ (توسيع البحث), algorithm _ (توسيع البحث), algorithm fa (توسيع البحث)
goa function » cost function (توسيع البحث)
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1
Tracking analysis of the NLMS algorithm in the presence of both random and cyclic nonstationarities
منشور في 2003"…The results show that, unlike in the stationary case, the steady-state excess MSE is not a monotonically increasing function of the step size. …"
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article -
2
New enumeration algorithm for regular boolean functions
منشور في 2018"…After proving this equivalence, this paper introduces a novel data structure that may, with further tweaking, enable faster enumeration algorithms for both regular Boolean functions and all-capacities knapsack problem instances.…"
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conferenceObject -
3
Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization
منشور في 2022"…The gazelle optimization algorithm (GOA) is a global stochastic optimizer that is straightforward to comprehend and has powerful search capabilities. …"
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4
Design and Implementation of an Advanced Control and Guidance Algorithm of a Single Rotor Helicopter
منشور في 2013احصل على النص الكامل
doctoralThesis -
5
A New Penalty Function Algorithm For Convex Quadratic Programming
منشور في 2020"…In this paper, we develop an exterior point algorithm for convex quadratic programming using a penalty function approach. …"
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6
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7
New fault models and efficient BIST algorithms for dual-portmemories
منشور في 1997"…The testability problem of dual-port memories is investigated. A functional model is defined, and architectural modifications to enhance the testability of such chips are described. …"
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article -
8
A Quasi-Oppositional Method for Output Tracking Control by Swarm-Based MPID Controller on AC/HVDC Interconnected Systems With Virtual Inertia Emulation
منشور في 2021"…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). …"
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9
Application of Red Deer Algorithm in Optimizing Complex functions
منشور في 2021"…The Red Deer algorithm (RDA), a recently developed population-based meta-heuristic algorithm, is examined in this paper with the optimization task of complex functions. …"
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10
A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems
منشور في 2024"…<p dir="ltr">This study investigates the no-wait flow shop scheduling problem and proposes a hybrid (HES-IG) algorithm that utilizes makespan as the objective function. …"
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11
Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach
منشور في 2006"…The search space is too large to be explored by deterministic algorithms. In this paper, a Genetic Algorithm based algorithm for synthesis of MVL functions is proposed. …"
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article -
12
A utility-based algorithm for joint uplink/downlink scheduling in wireless cellular networks
منشور في 2012"…While most existing literature focuses on downlink-only or uplink-only scheduling algorithms, the proposed algorithm aims at ensuring a utility function that jointly captures the quality of service in terms of delay and channel quality on both links. …"
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article -
13
Genetic and heuristic algorithms for regrouping service sites. (c2000)
منشور في 2000احصل على النص الكامل
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masterThesis -
14
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15
Consensus-Based Distributed Formation Control of Multi-Quadcopter Systems: Barrier Lyapunov Function Approach
منشور في 2023"…<p dir="ltr">The problem of formation tracking control for a group of quadcopters with nonlinear dynamics using Barrier Lyapunov Functions (BLFs) is studied in this paper where the quadcopters are following a desired predefined trajectory in a predefined formation shape. …"
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16
A non-convex economic load dispatch problem using chameleon swarm algorithm with roulette wheel and Levy flight methods
منشور في 2023"…In this paper, several enhancements were made to this algorithm. First, it’s position updating process was slightly tweaked and took advantage of the chameleons’ randomization as well as adopting several time-varying functions. …"
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17
Distributed optimal coverage control in multi-agent systems: Known and unknown environments
منشور في 2024"…The proposed approach leverages a novel cost function for optimizing the agents’ coverage and the cost function eventually aligns with the conventional Voronoi-based cost function. …"
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18
Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems
منشور في 2023"…Recently, optimization problems have been revised in many domains, and they need powerful search methods to address them. In this paper, a novel hybrid optimization algorithm is proposed to solve various benchmark functions, which is called IPDOA. …"
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19
New Fast Arctangent Approximation Algorithm for Generic Real-Time Embedded Applications
منشور في 2019"…The new algorithm exploits the pseudo-linear region around the tangent function zero point to estimate a reduced input arctangent through a modified rational approximation before referring this estimate to its original value using miniature LUTs. …"
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20
Optimization of Interval Type-2 Fuzzy Logic System Using Grasshopper Optimization Algorithm
منشور في 2022"…Grasshopper optimization algorithm (GOA) is a fresh population based meta-heuristic algorithm that mimics the swarming behavior of grasshoppers in nature, which has good convergence ability towards optima. …"