Скачать или смотреть Multi-objective genetic algorithm Fonseca & Fleming function

C++ implementation of multi-objective genetic algorithm as applied to Fonseca and Fleming's test function (for n=2).

An MFC dialog-based application that uses the Observer design pattern to notify and hence update the visual display at each iteration.

Genetic algorithm uses standard genetic operators crossover and mutation and tournament selection as a means of discovering improved solutions at each iterations.

Uses Fonsecan & Flemings method of Pareto-based ranking to determine the fitness of solutions and obtain the overall non-dominated set. Also used Goldberg and Deb's method of fitness sharing ("niching") as the means of discouraging the solutions from converging on a narrow portion of the Pareto-optimal front.

For more information see the following link (or contact me):

http://www.technical-recipes.com/2015...