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يعرض 1 - 9 نتائج من 9 نتيجة بحث عن 'moving search algorithm', وقت الاستعلام: 0.04s تنقيح النتائج
  1. 1

    Scatter search algorithm for the cross-dock door assignment problem حسب Tarhini, Abbas

    منشور في 2014
    "…A lot of research has been conducted regarding this topic still, up to our knowledge, none used Scatter Search (SS). In this paper, we implemented this evolutionary metaheuristic algorithm and tested it, then compared the results with those of another evolutionary algorithm, Genetic Algorithm (GA). …"
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    conferenceObject
  2. 2

    A Parallel Tabu Search Algorithm for Optimizing Multiobjective VLSI Placement حسب Minhas, Mahmood R.

    منشور في 2005
    "…In this paper, we present a parallel tabu search (TS) algorithm for efficient optimization of a constrained multiobjective VLSI standard cell placement problem. …"
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    article
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    Unit commitment by tabu search حسب Mantawy, A.H.

    منشور في 1998
    "…The former is solved using the tabu search algorithm (TSA) while the latter problem is solved via a quadratic programming routine. …"
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    article
  5. 5

    Natural optimization algorithms for the cross-dock door assignment problem حسب Tarhini, Abbas A.

    منشور في 2016
    "…The purpose of this paper is to present a novel algorithm that minimizes the traveling distance of the handling machines when moving cargo from an inbound truck to an outbound truck. …"
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    article
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    Swarm intelligence-based hyper-heuristic for the vehicle routing problem with prioritized customers حسب Tarhini, Abbas

    منشور في 2020
    "…The results indicate that the solution selected by the Cuckoo Search-based hyper-heuristic outperformed the modified Clarke Wright algorithm while taking into consideration the customers’ priority and demands and the vehicle capacity.…"
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    article
  8. 8

    Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection حسب Atiq ur Rehman (3044409)

    منشور في 2024
    "…(iii) The dynamic Markov chain process efficiently manages agent evolution and communication, ensuring effective navigation through the search space. (iv) Agents moving in the right way are rewarded with an increase in their associated transition probability, while the agents going in the wrong direction are discouraged with a decrease in their associated transition probabilities; this promotes the establishment of an equilibrium state and leads to convergence. …"
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