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algorithm basis » algorithm analysis (Expand Search)
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both function » cost function (Expand Search)
algorithm basis » algorithm analysis (Expand Search)
algorithm both » algorithm goa (Expand Search), algorithm aoa (Expand Search), algorithm its (Expand Search)
cell function » cost function (Expand Search)
both function » cost function (Expand Search)
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1
Radial basis function networks for contingency analysis of bulkpower systems
Published 1999“…Radial basis function networks (RBFNs) are used for contingency evaluation of bulk power system. …”
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2
A fuzzy basis function network for generator excitation control
Published 1997“…A fuzzy basis function network (FBFN) based power system stabilizer (PSS) is presented in this paper. …”
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New enumeration algorithm for regular boolean functions
Published 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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5
A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models
Published 2024“…For this purpose, a combination of Decisive Red Fox (DRF) Optimization and Descriptive Back Propagated Radial Basis Function (DBRF) classification are developed in the proposed work. …”
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New fault models and efficient BIST algorithms for dual-portmemories
Published 1997“…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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Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV
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8
A parallel tabu search algorithm for VLSI standard-cell placement
Published 2000“…VLSI standard-cell placement is an NP-hard problem to which various heuristics have been applied. …”
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GATS: A Novel Hybrid Algorithm for Multiobjective Cell Placement in VLSI Circuit Design
Published 2020“…This paper addresses the optimization of cell placement step in VLSI circuit design [1]. A novel hybrid algorithm is proposed for performance and low power driven VLSI standard cell placement. …”
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Consensus-Based Distributed Formation Control of Multi-Quadcopter Systems: Barrier Lyapunov Function Approach
Published 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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Design and Implementation of an Advanced Control and Guidance Algorithm of a Single Rotor Helicopter
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Distributed optimal coverage control in multi-agent systems: Known and unknown environments
Published 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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BUC algorithm for iceberg cubes
Published 2003“…In this paper, we implement the Bottom-Up Computation (BUC) algorithm for computing Iceberg cubes and conduct a sensitivity analysis of BUC with respect to the probability density function of the data. …”
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15
High-Accurate Parameter Identification of PEMFC Using Advanced Multi-Trial Vector-Based Sine Cosine Meta-Heuristic Algorithm
Published 2025“…The trigonometric function-based sine cosine algorithm (SCA) may solve such problems, but it traps in local optima, making it inappropriate for larger optimization tasks. …”
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Iterative Least Squares Functional Networks Classifier
Published 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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17
Cross entropy error function in neural networks
Published 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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18
Development of an Optimization Scheme for A Fixed-Wing UAV Long Endurance with PEMFC and Battery
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Timing influenced general-cell genetic floorplanner
Published 2020“…In this paper we present a timing-influenced floorplanner for general cell IC design. The floorplanner works in two phases. …”
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Genetic and heuristic algorithms for regrouping service sites. (c2000)
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masterThesis