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