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application algorithm » pollination algorithm (Expand Search), optimization algorithm (Expand Search), auction algorithm (Expand Search)
application algorithm » pollination algorithm (Expand Search), optimization algorithm (Expand Search), auction algorithm (Expand Search)
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61
Scheduling IoT Requests to Minimize Latency in Fog Computing
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doctoralThesis -
62
Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach
Published 2025“…These improvements underscore the effectiveness of Genetic Algorithms in optimizing the model.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: International Journal of Advanced Computer Science and Applications<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" rel="noreferrer noopener" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.14569/ijacsa.2025.01603113" target="_blank">https://dx.doi.org/10.14569/ijacsa.2025.01603113</a></p>…”
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63
Parametric Estimation From Empirical Data Using Particle Swarm Optimization Method for Different Magnetorheological Damper Models
Published 2021“…In this paper, an optimization algorithm, i.e., the Particle Swarm Optimization (PSO) algorithm, is utilized to identify the models' parameters. …”
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64
Topics in graph algorithms
Published 2003“…Coping with computational intractability has inspired the development of a variety of algorithmic techniques. The main challenge has usually been the design of polynomial time algorithms for NP-complete problems in a way that guarantees some, often worst-case, satisfactory performance when compared to exact (optimal) solutions. …”
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masterThesis -
65
A critical review and performance comparisons of swarm-based optimization algorithms in maximum power point tracking of photovoltaic systems under partial shading conditions
Published 2022“…The swarm-based MPPT algorithms are stochastic meta-heuristic approaches that have become very popular recently in various applications owing to the drawbacks of conventional MPPT algorithms under different operating conditions. …”
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66
Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV
Published 2013Get full text
doctoralThesis -
67
Optimization Techniques for Directional Overcurrent Relay Coordination: A Comprehensive Review
Published 2023“…It also presents simulation software employed for examining and validating results obtained from optimization algorithms. Future trends and challenges regarding optimal coordination of directional overcurrent relays are also discussed. …”
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68
A Survey of Data Clustering Techniques
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masterThesis -
69
Scalable Parallel Algorithms for FPT Problems
Published 2006“…To accomplish this, an efficient sequential algorithm and various forms of parallel algorithms are devised, implemented, and compared. …”
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70
Minimizing using BBO and DFO methods
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masterThesis -
71
Optimization metaheuristic for software testing
Published 2013“…We formulate the web application testing problem as an optimization problem and use a simulated annealing (SA) metaheuristic algorithm to generate test cases as sequences of events while keeping the test suite size reasonable. …”
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conferenceObject -
72
Scalable parallel algorithms for difficult combinatorial problems
Published 2004“…A novel combination of emergent algorithmic methods, powerful computational platforms and supporting infrastructure is described. …”
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conferenceObject -
73
Metaheuristic Algorithm for State-Based Software Testing
Published 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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74
Scatter Search algorithm for Protein Structure Prediction
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75
Investigating the Impact of Skylights and Atrium Configurations on Visual Comfort and Daylight Performance in Dubai Shopping Malls
Published 2025“…Annual simulations are used to assess seasonal variations, while sensitivity analysis identifies key parameters. A genetic algorithm and multi-objective optimisation (MOO) simulations are used to generate optimal configurations, summarised in the form of a Pareto front selection criteria guide the choice of the optimum solution, which is then applied and analysed in a case study. …”
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76
A clustering metaheuristic for large orienteering problems
Published 2022“…As a result, existing algorithms cannot effectively be utilized for solving large Orienteering Problems in an online setting, which is often required in real-world applications where a plan has to be iteratively computed. …”
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77
Graph contraction for physical optimization methods
Published 1993“…We then present experimental results on using contracted graphs as inputs to two physical optimization methods; namely, Genetic Algorithm and Simulated Annealing. …”
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conferenceObject -
78
Evolutionary algorithms for VLSI multi-objective netlist partitioning
Published 2006Get full text
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79
Algorithmic Study of Online Multi-Facility Location Problems
Published 2022“…The latter is a worst-case analysis that compares the cost of the online algorithm to that of the optimal offline algorithm that is assumed to know all demands in advance. …”
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80
A new genetic algorithm approach for unit commitment
Published 1997Get full text
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