بدائل البحث:
algorithm both » algorithm goa (توسيع البحث), algorithm aoa (توسيع البحث), algorithm its (توسيع البحث)
less function » cost function (توسيع البحث)
algorithm both » algorithm goa (توسيع البحث), algorithm aoa (توسيع البحث), algorithm its (توسيع البحث)
less function » cost function (توسيع البحث)
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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
An efficient failure-resilient mutual exclusion algorithm for distributed systems leveraging a novel zero-message overlay structure
منشور في 2024"…With a p f = 0 . 0016 , less than 10% of the nodes are disconnected. The proposed algorithm avoids node disconnection while minimally impacting the load of the logical tree nodes. …"
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4
Consensus-Based Distributed Formation Control of Multi-Quadcopter Systems: Barrier Lyapunov Function Approach
منشور في 2023"…The method is firstly developed in a centralized scheme and then extended to a distributed framework using appropriate asymptotically convergent consensus algorithms. Therefore, the asymptotic convergence of the designed distributed algorithm to the centralized one is guaranteed. …"
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5
Design and Implementation of an Advanced Control and Guidance Algorithm of a Single Rotor Helicopter
منشور في 2013احصل على النص الكامل
doctoralThesis -
6
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Distributed optimal coverage control in multi-agent systems: Known and unknown environments
منشور في 2024"…The proposed technique offers an optimal solution with a lower cost with respect to conventional Voronoi-based techniques by effectively handling the issue of agents remaining stationary in regions void of information using a ranking function. 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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Iterative Least Squares Functional Networks Classifier
منشور في 2007"…Both methodology and learning algorithm for this kind of computational intelligence classifier using the iterative least squares optimization criterion are derived. …"
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article -
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Cross entropy error function in neural networks
منشور في 2002"…The ANN is implemented using the cross entropy error function in the training stage. The cross entropy function is proven to accelerate the backpropagation algorithm and to provide good overall network performance with relatively short stagnation periods. …"
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احصل على النص الكامل
conferenceObject -
10
Face Recognition in Uncontrolled Indoor Environment
منشور في 2013احصل على النص الكامل
doctoralThesis -
11
Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems
منشور في 2023"…The studied MPPT controllers are Adaptive Adjustable Step-based Perturb and Observe (AAS-P&O) controllers, Variable Step Value-Radial Basis Function Controller (VSV-RBFC), Adaptive Step Hill Climb (ASHC) based fuzzy technique, Variable P&O with Particle Swarm Optimization (VP&O-PSO), and Variable Step Grey Wolf Algorithm (VSGWA) based fuzzy logic controller. …"
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احصل على النص الكامل
article -
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Genetic and heuristic algorithms for regrouping service sites. (c2000)
منشور في 2000احصل على النص الكامل
احصل على النص الكامل
masterThesis -
13
New fault models and efficient BIST algorithms for dual-portmemories
منشور في 1997"…These modifications allow multiple access of memory cells for increased test speed with minimal overhead on both silicon area and device performance. New fault models are proposed, and efficient O(n) test algorithms are described for both the memory array and the address decoders. …"
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article -
14
Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems
منشور في 2023"…The studied MPPT controllers are Adaptive Adjustable Step-based Perturb and Observe (AASP&O) controllers, Variable Step Value-Radial Basis Function Controller (VSV-RBFC), Adaptive Step Hill Climb (ASHC) based fuzzy technique, Variable P&O with Particle Swarm Optimization (VP&O-PSO), and Variable Step Grey Wolf Algorithm (VSGWA) based fuzzy logic controller. …"
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15
Mobile robots obstacles avoidance using dynamic window approach
منشور في 2018احصل على النص الكامل
doctoralThesis -
16
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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Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms
منشور في 2023"…It should be noted that, except EBCM, the other 10 new algorithms are inferior to the 4 state-of-the-art algorithms in terms of convergence speed and global search ability on CEC 2017 functions. …"
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Development of Lévy flight-based reptile search algorithm with local search ability for power systems engineering design problems
منشور في 2022"…This paper is a further attempt to offer a better optimizing structure, therefore, aims to provide a better-performing algorithm both for designing an appropriate proportional-integral-derivative (PID) controller to effectively operate an automatic voltage regulator (AVR) system and extracting the optimum parameters of a power system stabilizer (PSS) employed in a single-machine infinite-bus (SMIB) power system. …"
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19
A new tabu search algorithm for the long-term hydro scheduling problem
منشور في 2002"…The proposed implementation contributes to the enhancement of speed and convergence of the original tabu search algorithm (TSA). A significant reduction in the objective function over previous classical optimization methods and a simulated annealing algorithm has been achieved. …"
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article -
20
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. …"