1Blurb:: 2Replace population 3Description:: 4Replace the population with members selected to continue in the next 5generation. The pool of potential members is the current population 6and the current set of offspring. The \c replacement_type of \c 7roulette_wheel or \c unique_roulette_wheel may be used either with 8MOGA or SOGA problems however they are not recommended for use with 9MOGA. Given that the only two fitness assessors for MOGA are the \c 10layer_rank and \c domination_count, the recommended selector is the \c 11below_limit selector. The \c below_limit replacement will only keep 12designs that are dominated by fewer than a limiting number of other 13designs. The \c replacement_type of \c favor_feasible is specific to 14a SOGA. This replacement operator will always prefer a more feasible 15design to a less feasible one. Beyond that, it favors solutions based 16on an assigned fitness value which must have been installed by the 17weighted sum only fitness assessor (see the discussion below). 18 19Topics:: 20Examples:: 21Theory:: 22Faq:: 23See_Also:: 24