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Showing 1 to 4 of 4 for “"Meta-RaPS"”.

  1. Meta-raps: Parameter Setting And New Applications

    Recently meta-heuristics have become a popular solution methodology, in terms of both research and application, for solving combinatorial optimization problems. Meta-heuristic methods guide simple heuristics or priority rules designed to solve a particular problem. Meta-heuristics enhance these …

    ucf

  2. Meta-RaPS Hybridization with Machine Learning Algorithms

    <p>This dissertation focuses on advancing the Metaheuristic for Randomized Priority Search algorithm, known as Meta-RaPS, by integrating it with machine learning algorithms. Introducing a new metaheuristic algorithm starts with demonstrating its performance. This is accomplished by using the new …

    odu Repository record for Meta-RaPS Hybridization with Machine Learning Algorithms (opens in a new tab)

  3. Incorporating Memory and Learning Mechanisms Into Meta-RaPS

    … challenge can be through the implementation of metaheuristic approaches. However, a more powerful answer might be reached by incorporating intelligence into metaheuristics.</p> <p>Meta-RaPS (Metaheuristic for Randomized Priority Search) is a metaheuristic that creates high quality solutions for …

    odu Repository record for Incorporating Memory and Learning Mechanisms Into Meta-RaPS (opens in a new tab)

  4. Approximate Algorithms for the Combined arrival-Departure Aircraft Sequencing and Reactive Scheduling Problems on Multiple Runways

    … Priority Index (FPI) are proposed. Moreover, metaheuristics including Simulated Annealing (SA) and the Metaheuristic for Randomized Priority Search (Meta-RaPS) are introduced to improve solutions initially constructed by the proposed greedy algorithms. The performance (solution quality and …

    odu Repository record for Approximate Algorithms for the Combined arrival-Departure Aircraft Sequencing and Reactive Scheduling Problems on Multiple Runways (opens in a new tab)