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9 results for “Particle Swarm Optimization”

  • All 20
  • Metaheuristics 7
  • Courses 1
  • Applications 9
  • Machine Learning 2
  • Multiobjective Optimization 2
  • Fuzzy Systems 1
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  • Applications

    Economic Dispatching using PSO and Nested PSO

    Study economic dispatch in MATLAB with PSO and nested PSO, generator limits, prohibited zones, transmission losses, and plant-selection costs.

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  • Applications

    p-Hub Location Allocation Problem in MATLAB

    Model hub location and allocation in MATLAB with PSO, discounted inter-hub transport, opening costs, and a variable number of open hubs.

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  • Applications

    Optimal Robot Path Planning Using PSO in MATLAB

    Plan a 2D robot path in MATLAB with PSO, spline handle points, circular obstacles, sampled path lengths, and obstacle-violation penalties.

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  • Applications

    Optimal Inventory Control using PSO in MATLAB

    Plan integer order quantities in MATLAB with PSO or Firefly search, inventory balances, purchasing and holding costs, and storage-capacity penalties.

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  • Applications

    Facility Layout Design using PSO in MATLAB

    Design a facility layout in MATLAB with PSO, block positions and rotations, material-flow costs, clearance gaps, and overlap penalties.

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  • Applications

    Quadratic Assignment Problem (QAP) Using GA, PSO and FA in MATLAB

    Solve a quadratic assignment example in MATLAB with GA, PSO, or Firefly search, including permutation encoding and weighted facility-location costs.

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  • Applications

    Bin Packing Problem using GA, PSO, FA, and IWO

    Solve bin packing in MATLAB with GA, PSO, Firefly, or Invasive Weed Optimization, using a shared separator encoding and capacity penalties.

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  • Applications

    Minimum Spanning Tree using PSO, ICA and FA

    Study graph encoding in MATLAB with PSO, ICA, and Firefly search for a minimum spanning tree, and compare the result with an exact baseline.

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  • Applications

    Classic and Intelligent Portfolio Optimization in MATLAB

    Explore portfolio optimization in MATLAB with mean-variance, MAD, and CVaR models, plus PSO, ICA, NSGA-II, and SPEA2 implementations.

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