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Multi-Cluster Jumping Particle Swarm Optimization for Fast Convergence
Published 2020“…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. …”
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Accommodating High Penetrations of Renewable Distributed Generation Mix in Smart Grids
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Attacking ElGamal based cryptographic algorithms using Pollard's rho algorithm
Published 2005“…In this work we implement the classical and modified ElGamal cryptosystem to compare and to test their functionality, reliability and security. To test the security of the algorithms we use a famous attack algorithm called Pollard's rho algorithm that works in the domain of natural integers. …”
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Development of an Optimization Scheme for A Fixed-Wing UAV Long Endurance with PEMFC and Battery
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doctoralThesis -
47
Design of an innovative and self-adaptive-smart algorithm to investigate the structural integrity of a rail track using Rayleigh waves emitted and sensed by a fully non-contact las...
Published 2020“…The functioning of the algorithm was successfully tested by carrying out extensive experiments on a real rail track in the presence of different types of surface and sub-surface defects on its head and web. …”
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Iterative Least Squares Functional Networks Classifier
Published 2007“…This paper proposes unconstrained functional networks as a new classifier to deal with the pattern recognition problems. …”
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A new multimodulus blind equalization algorithm
Published 2004“…A new algorithm is presented for the blind equalization of complex signals. …”
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A new reactive power optimization algorithm
Published 2003“…A new implementation for the particle swarm algorithm has been applied. …”
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52
Evaluation of transfer functions for punctured turbo codes
Published 2000“…A modified algorithm for evaluating transfer functions of turbo codes with punctured systematic bits is presented. …”
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Stochastic evolution algorithm for technology mapping
Published 1998“…SELF-Map is based on the Stochastic Evolution (SE) algorithm. The state space model of the problem is defined and suitable cost function which allows optimization for area, delay, or area-delay combinations is proposed. …”
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A Stochastic Newton-Raphson Method with Noisy Function Measurements
Published 2016“…The development of the proposed optimal algorithm is based on minimizing a stochastic performance index. …”
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On the Optimization of Band Gaps in Periodic Waveguides
Published 2025“…<h3 dir="ltr">Purpose</h3><p dir="ltr">This work applies a computational framework for vibration attenuation in periodic structures by combining the established wave and finite element (WFE) method with nature-inspired optimization algorithms. …”
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A new genetic algorithm approach for unit commitment
Published 1997“…This paper presents a new genetic algorithm approach to solve the unit commitment problem in electric power systems. …”
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A Comparative Study of Elgamal Based Cryptographic Algorithms
Published 2004“…In this work we implement the classical and modified ElGamal cryptosystem to compare and to test their functionality, reliability and security. To test the security of the algorithms we use a famous attack algorithm called Baby-Step-Giant algorithm which works in the domain of natural integers. …”
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conferenceObject -
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A neural networks algorithm for data path synthesis
Published 2003“…The method formulates the allocation problem using the clique partitioning problem, an NP-complete problem, and handles multicycle functional units as well as structural pipelining. The algorithm has a running time complexity of O(1) for a circuit with n operations and c shared resources. …”
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New fault models and efficient BIST algorithms for dual-portmemories
Published 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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Consensus-Based Distributed Formation Control of Multi-Quadcopter Systems: Barrier Lyapunov Function Approach
Published 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. …”