Enum Class ProcessOptimizationEngine.SearchAlgorithm

java.lang.Object
java.lang.Enum<ProcessOptimizationEngine.SearchAlgorithm>
neqsim.process.util.optimizer.ProcessOptimizationEngine.SearchAlgorithm
All Implemented Interfaces:
Serializable, Comparable<ProcessOptimizationEngine.SearchAlgorithm>, Constable
Enclosing class:
ProcessOptimizationEngine
public static enum ProcessOptimizationEngine.SearchAlgorithm extends Enum<ProcessOptimizationEngine.SearchAlgorithm>
Search algorithm options.
Version:
2.0
Author:
NeqSim Development Team

  • Enum Constant Details

    • GOLDEN_SECTION

      public static final ProcessOptimizationEngine.SearchAlgorithm GOLDEN_SECTION
      Golden section search for unimodal objectives.

    • NELDER_MEAD

      public static final ProcessOptimizationEngine.SearchAlgorithm NELDER_MEAD
      Nelder-Mead simplex method for multi-dimensional.

    • PARTICLE_SWARM

      public static final ProcessOptimizationEngine.SearchAlgorithm PARTICLE_SWARM
      Particle swarm optimization for global search.

    • GRADIENT_DESCENT

      public static final ProcessOptimizationEngine.SearchAlgorithm GRADIENT_DESCENT
      Steepest ascent with adaptive step size.

      Uses finite-difference gradient estimation with exponential step-size decay. First-order method; convergence may be slow near the optimum.

    • GRADIENT_DESCENT_ARMIJO_WOLFE

      public static final ProcessOptimizationEngine.SearchAlgorithm GRADIENT_DESCENT_ARMIJO_WOLFE
      Steepest ascent with Armijo-Wolfe line search for guaranteed convergence.

      Ensures sufficient decrease (Armijo) and curvature (Wolfe) conditions at each step. More robust than plain gradient descent but still first-order.

    • BFGS

      public static final ProcessOptimizationEngine.SearchAlgorithm BFGS
      Scalar BFGS quasi-Newton method for 1-D flow optimization.

      Maintains an approximation of the inverse second derivative using secant updates. Provides superlinear convergence near the optimum for smooth 1-D problems. Note: this is a scalar (1-D) simplification, not a full matrix BFGS.

  • Constructor Details

    • SearchAlgorithm

      private SearchAlgorithm()

  • Method Details

    • values

      public static ProcessOptimizationEngine.SearchAlgorithm[] values()
      Returns an array containing the constants of this enum class, in the order they are declared.
      Returns:
      an array containing the constants of this enum class, in the order they are declared

    • valueOf

      public static ProcessOptimizationEngine.SearchAlgorithm valueOf(String name)
      Returns the enum constant of this class with the specified name. The string must match exactly an identifier used to declare an enum constant in this class. (Extraneous whitespace characters are not permitted.)
      Parameters:
      name - the name of the enum constant to be returned.
      Returns:
      the enum constant with the specified name
      Throws:
      IllegalArgumentException - if this enum class has no constant with the specified name
      NullPointerException - if the argument is null