Multi-objective Direct-Search optimizers

Group of optimization algorithms that find a pareto front of the solutions on a multi-objective function without using gradient information, only function values

+ Collaboration diagram for Multi-objective Direct-Search optimizers:

Classes

class  shark::IndicatorBasedMOCMA< Indicator >
 Implements the generational MO-CMA-ES. More...
 
class  shark::MOEAD
 Implements the MOEA/D algorithm. More...
 
class  shark::IndicatorBasedRealCodedNSGAII< Indicator >
 Implements the NSGA-II. More...
 
class  shark::RealCodedNSGAIII
 Implements the NSGA-III. More...
 
class  shark::RVEA
 Implements the RVEA algorithm. More...
 
class  shark::SMSEMOA
 Implements the SMS-EMOA. More...
 
class  shark::IndicatorBasedSteadyStateMOCMA< Indicator >
 Implements the \((\mu+1)\)-MO-CMA-ES. More...