Multi-objective evolutionary algorithm

                                     basic concept

EA (evolutionary algorithm) evolutionary algorithm

MOEA (multi-objective evolutionary algorithm)

MOGA (multi-objective genetic algorithm)

EMOO (evolutionary multi-objective optimization)

MOEA includes: NSGA-||, NPGA, SPEA2, etc.

decision vector space

target vector space

dominance

The fitness of the objective function

Selection operator: fitness value calculation selection, Boltzmann selection, sorting selection, league selection

 

 

          single target selection

Selection method: roulette wheel betting selection method, random traversal sampling method, truncation selection method, tournament selection method.

 

 

Algorithm implementation:

First, an initialization population P is parameterized, and a sub-generation population Q is generated through binary tournament selection, crossover and mutation.

 

 

Pareto optimal frontier:

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