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taste function » cost function (Expand Search), transfer function (Expand Search)
taste function » cost function (Expand Search), transfer function (Expand Search)
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81
Scatter search for protein structure prediction. (c2008)
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masterThesis -
82
Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization
Published 2024“…The goal is to select a set of sensors based on norms of weighted distances cost function. …”
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83
A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems
Published 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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Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link
Published 2023“…An optimization problem is formulated with data rate and BER in the cost function while maintaining energy and power constraints. …”
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88
Improved Dwarf Mongoose Optimization for Constrained Engineering Design Problems
Published 2022“…This optimization technique modifies the base algorithm (DMO) in three simple but effective ways. …”
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89
Axes-Based Encryption Key
Published 2018“…This paper introduces a new approach in cryptography based on the distribution of data using an x-y key function. …”
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conferenceObject -
90
Solution of Fractional Differential Equations: Transform and Iterative Methods Approach
Published 2019Get full text
doctoralThesis -
91
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92
An efficient failure-resilient mutual exclusion algorithm for distributed systems leveraging a novel zero-message overlay structure
Published 2024“…<p>In this paper, we provide a novel failure-resilient token-based mutual exclusion (ME) algorithm for distributed systems. …”
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93
IoT-Based Sustainable Parking Lot
Published 2023“…Experimental results showed that the system was able to perform the functionality with high accuracy. The coefficient of determination (R²) achieved of the car congestion prediction module was 0.97. …”
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Fragment-based computational protein structure prediction
Published 2014“…The method is based on a two-phase Scatter Search algorithm that minimizes the energy function. …”
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conferenceObject -
96
Minimizing using BBO and DFO methods
Published 2022“…In order to apply this algorithm to real life problems, two numerical methods need to be developed: A numerical method to solve nonlinear differential equations, and a numerical method to nd the minimum of an objective function (given only numerically) in fi nite dimensional spaces. …”
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masterThesis -
97
Boosting the visibility of services in microservice architecture
Published 2023“…These assessments can be performed by means of a live health-check service, or, alternatively, by making a prediction of the current state of affairs with the application of machine learning-based approaches. In this research, we evaluate the performance of several classification algorithms for estimating the quality of microservices using the QWS dataset containing traffic data of 2505 microservices. …”
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Upgraded SemIndex Prototype Supporting Intelligent Database Keyword Queries through Disambiguation, Query as You Type, and Parallel Search Algorithms
Published 2018“…Here, we build on top of SemIndex, a semantic-aware inverted index previously developed by our team, to allow semantic-aware search, result selection, and result ranking functionality. Various weighting functions and intelligent search algorithms have been developed for that purpose and will be presented here. …”
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conferenceObject -
99
Regression testing web services-based applications
Published 2006Get full text
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conferenceObject -
100
ANT-colony optimization-direct torque control for a doubly fed induction motor : An experimental validation
Published 2022“…The best solutions adopted in this situation are often based on optimization algorithms that generate the controller’s gains in each period where there is an internal or external perturbation, adapting the behaviors of the PID against the system’s nonlinearity. …”