Hello, There are many parts of the genetic algorithm that can be parallelized. The most common part is the evaluation of each individual. You can start with that. Take your population and calculate the fitness of every member in a parallel way. Clojure has many mechanisms to use like pmap, futures or core.async. Any of them require some reading and learning, but that is the purpose of the assignment.
Saludos! José El martes, 20 de marzo de 2018, 4:17:49 (UTC-6), Donato Cafarelli escribió: > > Hi everybody, I need help! I got a lab project assignment that involves > the following goal: parallelize a genetic algorithm with clojure language. > What I need is a good algorithm. > Any suggestions? > > Thank you very much > -- You received this message because you are subscribed to the Google Groups "Clojure" group. To post to this group, send email to clojure@googlegroups.com Note that posts from new members are moderated - please be patient with your first post. To unsubscribe from this group, send email to clojure+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/clojure?hl=en --- You received this message because you are subscribed to the Google Groups "Clojure" group. To unsubscribe from this group and stop receiving emails from it, send an email to clojure+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
