بدائل البحث:
algorithm novel » algorithm survey (توسيع البحث), algorithm review (توسيع البحث)
algorithm a » algorithm fa (توسيع البحث), algorithms a (توسيع البحث), algorithm _ (توسيع البحث)
a function » _ functional (توسيع البحث)
algorithm novel » algorithm survey (توسيع البحث), algorithm review (توسيع البحث)
algorithm a » algorithm fa (توسيع البحث), algorithms a (توسيع البحث), algorithm _ (توسيع البحث)
a function » _ functional (توسيع البحث)
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41
Stochastic evolution algorithm for technology mapping
منشور في 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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article -
42
Accommodating High Penetrations of Renewable Distributed Generation Mix in Smart Grids
منشور في 2017احصل على النص الكامل
doctoralThesis -
43
A new genetic algorithm approach for unit commitment
منشور في 1997"…This paper presents a new genetic algorithm approach to solve the unit commitment problem in electric power systems. …"
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article -
44
Accuracy of an internationally validated genetic-guided warfarin dosing algorithm compared to a clinical algorithm in an Arab population
منشور في 2024"…To compare the accuracy of a clinical warfarin dosing (CWD) versus genetic warfarin dosing algorithms (GWD) during warfarin initiation. …"
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45
A neural networks algorithm for data path synthesis
منشور في 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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article -
46
A Comparative Study of Elgamal Based Cryptographic Algorithms
منشور في 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 -
47
Metaheuristic Algorithm for State-Based Software Testing
منشور في 2018"…This article presents a metaheuristic algorithm for testing software, especially web applications, which can be modeled as a state transition diagram. …"
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article -
48
Radial basis function networks for contingency analysis of bulkpower systems
منشور في 1999"…The performance of the RBFN is compared with a standard AC load flow algorithm…"
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article -
49
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 -
50
Single channel speech denoising by DDPG reinforcement learning agent
منشور في 2025"…In this paper, a novel SD algorithm is presented based on the deep deterministic policy gradient (DDPG) agent; an off-policy reinforcement learning (RL) agent with a continuous action space. …"
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51
Stochastic optimal power flow framework with incorporation of wind turbines and solar PVs using improved liver cancer algorithm
منشور في 2024"…<p dir="ltr">The present study introduces a nature inspired improved liver cancer algorithm (ILCA) for solving the non‐convex engineering optimization issues. …"
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52
A genetic-based algorithm for fuzzy unit commitment model
منشور في 2000"…In the implementation for the GA, coding of the UCP solutions is based on mixing binary and decimal representations. A fitness function is constructed from the total operating cost of the generating units plus a penalty term determined due to the fuzzy load and spinning reserve membership functions. …"
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article -
53
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"…<p>This paper presents a comprehensive evaluation of the effect of quasi oppositional - based learning method utilization in output tracking control through a swarm-based multivariable Proportional-Integral-Derivative (SMPID) controller, which is tuned by a novel performance index based on the step response characteristics in multi-input multi-output (MIMO) system. …"
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54
A comparative study of RSA based digital signature algorithms
منشور في 2006"…We implement the classical and modified RSA cryptosystem to compare and to test their functionality, reliability and security. To test the security of the algorithms we implement attack algorithms to solve the factorization problem in Z, Z[<i>i</i>] and F[<i>x</i>]. …"
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article -
55
A novel network-based SIS framework for improved GA performance
منشور في 2025"…In analogy, we adapt this formulation to improve the performance of genetic algorithms. We represent the set of possible solutions to a complex optimization problem as interconnected nodes in a scale-free network. …"
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masterThesis -
56
Improving the Secure Socket Layer Protocol by modifying its Authentication function
منشور في 2017"…SSL uses three interdependent cryptographic functions to perform a secure connection. The first function is authentication. …"
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conferenceObject -
57
Evolutionary algorithms, simulated annealing and tabu search: a comparative study
منشور في 2020"…In this paper we perform a comparative study among GA, SA, and TS. These algorithms have many similarities, but they also possess distinctive features, mainly in their strategies for searching the solution state space. …"
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article -
58
A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems
منشور في 2021"…In this paper, a multiswarm-intelligence-based algorithm (MSIA) is developed to cope with bound constrained functions. …"
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59
Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm
منشور في 2000"…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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60