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Multi-Target Tracking Resources Allocation Using Multi-Agent Modeling and Auction Algorithm
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Application of Red Deer Algorithm in Optimizing Complex functions
Published 2021Subjects: “…RD algorithm…”
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Accommodating High Penetrations of Renewable Distributed Generation Mix in Smart Grids
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doctoralThesis -
4
A New Penalty Function Algorithm For Convex Quadratic Programming
Published 2020“…In this paper, we develop an exterior point algorithm for convex quadratic programming using a penalty function approach. …”
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New enumeration algorithm for regular boolean functions
Published 2018“…This paper introduces a new algorithm for enumerating regular Boolean functions. …”
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A parallel tabu search algorithm for VLSI standard-cell placement
Published 2000“…In this work, tabu search placement algorithm is parallelized on a network of workstations using PVM. …”
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Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems
Published 2023Subjects: “…Prairie dog optimization algorithm…”
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Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach
Published 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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A new tabu search algorithm for the long-term hydro scheduling problem
Published 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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A New Genetic-Based Tabu Search Algorithm For Unit Commitment Problem
Published 2020“…A significant improvement of the proposed algorithm results, over those obtained by either genetic algorithm or tabu search, has been achieved. …”
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A utility-based algorithm for joint uplink/downlink scheduling in wireless cellular networks
Published 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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Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm
Published 2020“…In this paper, we present an approach based on Simulated Evolution algorithm for the design of SEN topology. The overall cost function has been developed using fuzzy logic. …”
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Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm
Published 2020“…In this paper, we present an approach based on Simulated Evolution algorithm for the design of SEN topology. The overall cost function has been developed using fuzzy logic. …”
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Salp swarm algorithm: survey, analysis, and new applications
Published 2024“…The behavior of the species when traveling and foraging in the waters is the main source of SSA and MSSA. These two algorithms are put to test on a variety of mathematical optimization functions to see how they behave when it comes to finding the best solutions to optimization problems. …”
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Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
Published 2022“…For the purpose of predicting ground loss as a function of fruit zone, plant height, fruit production, slope, leaf loss, and blower damage, three ML models i.e., support vector regression (SVR), linear regression (LR), and random forest (RF)—were used. …”
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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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Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization
Published 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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Design and Implementation of an Advanced Control and Guidance Algorithm of a Single Rotor Helicopter
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doctoralThesis -
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Iterative Least Squares Functional Networks Classifier
Published 2007“…The results show that this new framework classifier is reliable, flexible, stable, and achieves a high-quality performance. Index Terms—Functional networks, minimum description length, statistical pattern recognition.…”
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