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Showing 161 - 180 results of 183 for search 'minimization ((maximization algorithm) OR (optimization algorithm))', query time: 0.09s Refine Results
  1. 161

    Mobile hospitals routing for prioritized patients by Tarhini, Abbas

    Published 2017
    “…A recognized problem in this domain is minimizing the cost of mobile hospitals rout in a way that the number of served patients is maximized. …”
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  2. 162

    Design of a vibration absorber for harmonically forced damped systems by Issa, Jimmy

    Published 2013
    “…The absorber is placed between the primary system and the supporting ground. The optimal absorber parameters are obtained with the aim of minimizing the maximum of the primary system frequency response. …”
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    article
  3. 163

    Mobile clinics routing in response to covid-19 outbreak: an intelligent hyperheuristic approach by Danach, Kassem

    Published 2022
    “…A recognized problem in this domain is minimizing the cost of mobile clinics route in a way that the number of served patients is maximized. …”
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  4. 164

    Scatter search technique for exam timetabling by Mansour, Nashat

    Published 2011
    “…We evaluate our suggested technique on real-world university data and compare our results with the registrar’s manual timetable in addition to the timetables of other heuristic optimization algorithms. The experimental results show that our adapted scatter search technique generates better timetables than those produced by the registrar, manually, and by other meta-heuristics.…”
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  5. 165

    General Inspection Plan For Critical Multicharacteristic Components by Duffuaa, S. O.

    Published 2020
    “…A mathematical model that depicts and represents the plan has been developed. A decent type algorithm is proposed to determine the optimal number of repeat inspections and sequence characteristics for inspection that minimizes the expected total cost. …”
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    article
  6. 166

    A Stochastic Approach To Solving The Weight Setting Problem in OSPF Networks by Shaik, Muzibur Rehman

    Published 2007
    “…In this thesis, a prudent approach of mitigating the mentioned problem by using a Stochastic Evolution (StocE) heuristic is used which provides a close to optimal solution to these kinds of problems. Through this work, an attempt has been made to optimize the weights on the network so as to minimize congestion. …”
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    masterThesis
  7. 167

    Dynamic Layout Planning Using a Hybrid Incremental Solution Method by Zouein, Pierrette

    Published 1999
    “…Subsequently, a linear program is solved to find the optimal position for each resource so as to minimize all costs. …”
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  8. 168

    Practical single node failure recovery using fractional repetition codes in data centers by Itani, May

    Published 2016
    “…In addition, we account for new-comer blocks and allocate them to nodes with minimal computations and without changing the original optimal schema. …”
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  9. 169

    An easy-to-use scalable framework for parallel recursive backtracking by Abu-Khzam, Faisal N.

    Published 2013
    “…Solving NP-hard graph problems to optimality using exact algorithms is an example of an area in which there has so far been limited success in obtaining large scale parallelism. …”
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    article
  10. 170

    FoGMatch by Arisdakessian, Sarhad

    Published 2019
    “…Our solution consists of (1) two optimization problems, one for the IoT devices and one for the fog nodes, (2) preference functions for both the IoT and fog layers to help them rank each other on the basis of several criteria such latency and resource utilization, and (3) centralized and distributed intelligent scheduling algorithms that consider the preferences of both the fog and IoT layers to improve the performance of the overall IoT ecosystem. …”
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  11. 171

    On scalable parallel recursive backtracking by Abu-Khzam, Faisal N.

    Published 2015
    “…Solving NP-hard graph problems to optimality using exact algorithms is an example of an area in which there has so far been limited success in obtaining large scale parallelism. …”
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  12. 172

    Reinforcement R-learning model for time scheduling of on-demand fog placement by Farhat, Peter

    Published 2020
    “…This choice is subject to study the demand of a particular location for services in order to maximize the resources utilization of these fogs. A simple algorithm will not be able to explore randomly changing users’ demands. …”
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  13. 173

    UAV-Aided Projection-Based Compressive Data Gathering in Wireless Sensor Networks by Ebrahimi, Dariush

    Published 2018
    “…Our problem definition aims at clustering the sensors, constructing an optimized forwarding tree per cluster, and gathering the data from selected cluster head nodes based on projection-based CDG with minimized UAV trajectory distance. …”
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  14. 174
  15. 175

    MoveSchedule by Zouein, Pierette

    Published 1995
    “…The layout construction algorithm that underlies MoveSchedule uses Constraint Satisfaction to find the set of all positions that meet the constraints on resources' positions and Linear Programming to find the optimal positions that minimize resource transportation and relocation costs. …”
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  16. 176
  17. 177

    Practical Multiple Node Failure Recovery in Distributed Storage Systems by Itani, M.

    Published 2016
    “…We allocate newcomers to nodes with minimal computations and without changing the original optimized plan. …”
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  18. 178

    Exploring AI Conversational Chatbot UX Design: Insights from High School by Suha Khalil Assayed

    Published 2025
    “…Advancements in state-of-the-art models and algorithms for chatbots have significantly driven the growth and evolution of human–computer interaction (HCI) in recent years. …”
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  19. 179

    ISSP by Zouein, P.P.

    Published 2017
    “…The underlying algorithms optimize positions of resources by minimizing handling and rehandling costs of these on site. …”
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  20. 180

    On the complexity of bilinear computations by Takche, Jean Halim

    Published 1984
    “…One can show that we can restrict ourselves to bilinear algorithms. Brockett and Dobkin showed that the problem is equivalent to minimizing the number of rank one matrices that generate a given set of matrices. …”
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    masterThesis