GenAlgo

C++ implementations of SGA and NSGA-II for solving multi-objective optimization problem. The benchmark function used by default is SCH2.

Simple Genetic Algorithm

SGA with naive weighted-sum approach.

Compiling

g++ -O3 -Werror -Wall -Wextra -Wpedantic -std=c++14 -o sga sga.cpp

Non-Dominated Sorting Genetic Algorithm II

NSGA-II is implemented as outlined in the original research paper by K. Deb et al.

Compiling

g++ -O3 -Werror -Wall -Wextra -Wpedantic -std=c++14 -o nsga nsga.cpp

Functions

The problems on the which the algorithms run can be changed by changing the contents of the SGAIndividual::calc_objs() and NSGAIndividual::calc_objs() functions.