Welcome to documentation for bboptpy!

Contents:

• Introduction
  • Installation
  • Basic Univariate Example
  • Basic Multivariate Example
  • Incremental Optimization Example
  • Citation
• Univariate Optimizers
  • Branch and Bound
  • Brent’s Methods
  • Calvin’s Method
  • Davies-Swann-Campey Method
  • Fibonacci Search
  • Golden Section Search
  • Piyavskii’s Method
• Multivariate Optimizers
  • Adaptive Coordinate Descent (ACD)
  • AMaLGaM IDEA
  • Basin Hopping
  • Controlled Random Search with Local Mutation (CRS)
  • Covariance Matrix Adaptation Evolutionary Strategies (CMA-ES)
  • Differential Evolution (DE)
  • Differential Search (DSA)
  • Exponential Natural Evolution Strategy (xNES)
  • LIPO with Max Heuristic and Quadratic Trust Region (Max-LIPO-TR)
  • Novel Self-Adaptive Harmony Search (NSHS)
  • Hessian Estimation Evolutionary Strategy (HE-ES)
  • Self-Adaptive Multi-Population JAYA
  • Adaptive Nelder-Mead (Simplex) Algorithm
  • Particle Swarm Optimization (PSO)
  • Powell’s Methods
  • PRAXIS
  • Rosenbrock’s Method