optimization

Members

(static, constant) nelderMead

Description:
  • Nelder-Mead Simplex Algorithm (Direct Search Gradient-Free Optimization) Maximizes continuous N-dimensional spaces through contraction and expansion.
Source:
See:
Nelder-Mead Simplex Algorithm (Direct Search Gradient-Free Optimization) Maximizes continuous N-dimensional spaces through contraction and expansion.

(static, constant) particleSwarmOptimization

Description:
  • Particle Swarm Optimization (PSO) A stochastic, population-based metaheuristic for maximizing complex multidimensional bounds.
Source:
See:
Particle Swarm Optimization (PSO) A stochastic, population-based metaheuristic for maximizing complex multidimensional bounds.

(static, constant) simulatedAnnealing

Description:
  • Simulated Annealing (Derivative-Free Stochastic Optimization) Maximizes the evaluate function payload.
Source:
See:
Simulated Annealing (Derivative-Free Stochastic Optimization) Maximizes the evaluate function payload.

Members

(static, constant) nelderMead

Description:
  • Nelder-Mead Simplex Algorithm (Direct Search Gradient-Free Optimization) Maximizes continuous N-dimensional spaces through contraction and expansion.
Source:
See:
Nelder-Mead Simplex Algorithm (Direct Search Gradient-Free Optimization) Maximizes continuous N-dimensional spaces through contraction and expansion.

(static, constant) particleSwarmOptimization

Description:
  • Particle Swarm Optimization (PSO) A stochastic, population-based metaheuristic for maximizing complex multidimensional bounds.
Source:
See:
Particle Swarm Optimization (PSO) A stochastic, population-based metaheuristic for maximizing complex multidimensional bounds.

(static, constant) simulatedAnnealing

Description:
  • Simulated Annealing (Derivative-Free Stochastic Optimization) Maximizes the evaluate function payload.
Source:
See:
Simulated Annealing (Derivative-Free Stochastic Optimization) Maximizes the evaluate function payload.

Members

(static, constant) nelderMead

Description:
  • Nelder-Mead Simplex Algorithm (Direct Search Gradient-Free Optimization) Maximizes continuous N-dimensional spaces through contraction and expansion.
Source:
See:
Nelder-Mead Simplex Algorithm (Direct Search Gradient-Free Optimization) Maximizes continuous N-dimensional spaces through contraction and expansion.

(static, constant) particleSwarmOptimization

Description:
  • Particle Swarm Optimization (PSO) A stochastic, population-based metaheuristic for maximizing complex multidimensional bounds.
Source:
See:
Particle Swarm Optimization (PSO) A stochastic, population-based metaheuristic for maximizing complex multidimensional bounds.

(static, constant) simulatedAnnealing

Description:
  • Simulated Annealing (Derivative-Free Stochastic Optimization) Maximizes the evaluate function payload.
Source:
See:
Simulated Annealing (Derivative-Free Stochastic Optimization) Maximizes the evaluate function payload.