miesmuschel0.0.4-3 package

Set a Function's Environment

Filtor-Combination that Filters According to Two Filtors

Null-Filtor

Proxy-Filtor that Filters According to its Configuration Parameter

Progressive Surrogate Model Filtering

Tournament Surrogate Model Filtering

Dictionary of Filtors

Mutator Choosing Action Component-Wise Independently

Uniform Sample Mutator

Gaussian Distribution Mutator

Mutator Choosing Action Probabilistically

Null Mutator

Proxy-Mutator that Mutates According to its Configuration parameter

Run Multiple Mutator Operations in Sequence

Uniform Discrete Mutator

Dictionary of Mutators

Recombinator Choosing Action Component-Wise Independently

Convex Combination Recombinator

Convex Combination Recombinator for Pairs

Recombinator Choosing Action Probabilistically

Null-Recombinator

Proxy-Recombinator that Recombines According to its Configuration para...

Simulated Binary Crossover Recombinator

Run Multiple Recombinator Operations in Sequence

Swap Recombinator

N-ary Crossover Recombinator

Crossover Recombinator

Dictionary of Recombinators

Scalor giving Weighted Sum of Multiple Scalors

Scalor Counting Dominating Individuals

Multi-Objective Fixed Projection Scalor

Hypervolume Scalor

Nondominated Sorting Scalor

Single Dimension Scalor

Proxy-Scalor that Scales According to its Configuration parameter

Single Objective Scalor

Dictionary of Scalors

Best Value Selector

Selector-Combination that Selects According to Two Selectors

Null Selector

Proxy-Selector that Selects According to its Configuration Parameter

Random Selector

Run Multiple Selection Operations in Sequence

Tournament Selector

Dictionary of Selectors

Calculate Crowding Distance

Calculate Hypervolume Contribution

Calculate Hypervolume Improvement

Calculate Dominated Hypervolume

Filtor Base Class

Abstract Surrogate Model Filtering Base Class

Get Aggregated Performance Values by Generation

Aggregate a Value for a given Generation

Evaluate Proposed Configurations Generated in a MIES Iteration

Filter Offspring

Generate Offspring Through Mutation and Recombination

Aggregate Values for All Generations Present

Get the Last Generation that was Evaluated

Get Fitness Values from OptimInstance

Get Performance Values by Generation

Initialize MIES Optimization

Prime MIES Operators

Select Individuals from an OptimInstance

Re-Evaluate Existing Configurations with Higher Fidelity

Choose Survivors According to the "Mu , Lambda" ("Comma") Strategy

Choose Survivors According to the "Mu + Lambda" ("Plus") Strategy

miesmuschel: Mixed Integer Evolution Strategies

Operator Base Class

Terminator that Limits Total Budget Component Evaluation

Terminator That Stops When a Generation-Wise Aggregated Value Reaches ...

Terminator that Counts OptimizerMies Generations

Terminator That Stops When a Generation-Wise Aggregated Value Stagnate...

Short Access Forms for Operators

Mutator Base Class

Discrete Mutator Base Class

Numeric Mutator Base Class

Self-Adaptive Operator Combinations

OptimInstanceMultiCrit Class

OptimInstanceSingleCrit Class

Optimizer Class

Mixed Integer Evolution Strategies Optimizer

ParamSetShadow

Perform Nondominated Sorting

Recombinator Base Class

Pair Recombinator Base Class

Create a 'call' Object Representation

Sampler for Projection Weights

Chebyshev Scalarizer

Linear Scalarizer

Scalarizer

Scalor Base Class

Selector Base Class

Selector making use of Scalors

Get the Numger of Generations that a Terminator Allows

TuningInstanceMultiCrit Class

TuningInstanceSingleCrit Class