Enum Class ProductionOptimizer.SearchMode

java.lang.Object
java.lang.Enum<ProductionOptimizer.SearchMode>
neqsim.process.util.optimizer.ProductionOptimizer.SearchMode
All Implemented Interfaces:
Serializable, Comparable<ProductionOptimizer.SearchMode>, Constable
Enclosing class:
ProductionOptimizer
public static enum ProductionOptimizer.SearchMode extends Enum<ProductionOptimizer.SearchMode>
Supported search algorithms.
Version:
1.0
Author:
NeqSim Development Team

  • Enum Constant Details

    • BINARY_FEASIBILITY

      public static final ProductionOptimizer.SearchMode BINARY_FEASIBILITY
      Traditional monotonic binary search on feasibility.

    • GOLDEN_SECTION_SCORE

      public static final ProductionOptimizer.SearchMode GOLDEN_SECTION_SCORE
      Golden-section scoring search suitable for non-monotonic responses.

      Assumption: The objective function must be unimodal over the search interval, i.e. it must have a single peak. If the function has multiple local maxima, the golden-section method may converge to a local optimum. For multi-modal responses, prefer PARTICLE_SWARM_SCORE or NELDER_MEAD_SCORE instead.

    • NELDER_MEAD_SCORE

      public static final ProductionOptimizer.SearchMode NELDER_MEAD_SCORE
      Nelder–Mead simplex search on the composite score.

    • PARTICLE_SWARM_SCORE

      public static final ProductionOptimizer.SearchMode PARTICLE_SWARM_SCORE
      Particle-swarm search on the composite/feasibility score.

    • GRADIENT_DESCENT_SCORE

      public static final ProductionOptimizer.SearchMode GRADIENT_DESCENT_SCORE
      Steepest ascent with finite-difference gradients and Armijo backtracking line search.

      Suitable for multi-variable smooth optimization problems (5-20+ variables). Uses central differences for gradient estimation and adaptive step-size reduction via Armijo sufficient decrease condition. This is a first-order method; for faster convergence near the optimum consider using a quasi-Newton method externally.

      Note: Despite the name, this does NOT use L-BFGS or any Hessian approximation. It is plain steepest ascent with line search.

  • Constructor Details

    • SearchMode

      private SearchMode()

  • Method Details

    • values

      public static ProductionOptimizer.SearchMode[] 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 ProductionOptimizer.SearchMode 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