R: Explicit Exploration Strategy for Evolutionary Algorithms

# Explicit Exploration Strategy for Evolutionary Algorithms

## Documentation for package ‘EEEA’ version 1.0.1

- DESCRIPTION file

## Help Pages

ackley | Ackley Function for Benchmarking Optimization Algorithms
cigar | Cigar function for optimization problems
cigar_tablet | Cigar Tablet function for optimization problems
EDA.ecdf | Distribution estimation algorithm with empirical cumulative distribution function (ECDF).
EDA.hist | Distribution estimation algorithm with histograms.
EDA.mnorm | Distribution estimation algorithm with multivariate normal distribution.
EDA.norm | Distribution estimation algorithm with normal distribution.
ellipsoid | Ellipsoid function for optimization problems
expanded_schaffer | Expanded Schaffer's F6 Function for Benchmarking Optimization Algorithms
ExplicitExploration | Explicit exploration in evolutionary algorithms
griewank | Griewank Function for Benchmarking Optimization Algorithms
happy_cat | Happy Cat Function for Benchmarking Optimization Algorithms
modified_schwefel | Modified Schwefel Function for Benchmarking Optimization Algorithms
rastrigin | Rastrigin function for optimization problems
rosenbrock | Rosenbrock function for optimization problems
schwefel_12 | Schwefel 1.2 function for optimization problems
sphere | Sphere Function for Benchmarking Optimization Algorithms
trid | Trid function for optimization problems
two_axes | Two Axes function for optimization problems
weierstrass | Weierstrass Function for Benchmarking Optimization Algorithms
zakharov | Zakharov function for optimization problems