{"action":"opened","issue":{"url":"https://api.github.com/repos/MOEAFramework/MOEAFramework/issues/72","repository_url":"https://api.github.com/repos/MOEAFramework/MOEAFramework","labels_url":"https://api.github.com/repos/MOEAFramework/MOEAFramework/issues/72/labels{/name}","comments_url":"https://api.github.com/repos/MOEAFramework/MOEAFramework/issues/72/comments","events_url":"https://api.github.com/repos/MOEAFramework/MOEAFramework/issues/72/events","html_url":"https://github.com/MOEAFramework/MOEAFramework/issues/72","id":173625666,"number":72,"title":"About the leader selection in OMOPSO","user":{"login":"zhoudiprivateChina","id":16380025,"avatar_url":"https://avatars.githubusercontent.com/u/16380025?v=3","gravatar_id":"","url":"https://api.github.com/users/zhoudiprivateChina","html_url":"https://github.com/zhoudiprivateChina","followers_url":"https://api.github.com/users/zhoudiprivateChina/followers","following_url":"https://api.github.com/users/zhoudiprivateChina/following{/other_user}","gists_url":"https://api.github.com/users/zhoudiprivateChina/gists{/gist_id}","starred_url":"https://api.github.com/users/zhoudiprivateChina/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/zhoudiprivateChina/subscriptions","organizations_url":"https://api.github.com/users/zhoudiprivateChina/orgs","repos_url":"https://api.github.com/users/zhoudiprivateChina/repos","events_url":"https://api.github.com/users/zhoudiprivateChina/events{/privacy}","received_events_url":"https://api.github.com/users/zhoudiprivateChina/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2016-08-28T02:32:18Z","updated_at":"2016-08-28T02:32:18Z","closed_at":null,"body":"Hi, me again. \r\nThe function selectLeader() in OMOPSO in MOEAFRAMEWORK seems to select two leaders randomly from the archive, then decides which will be the leader participating the velocity updating by comparing their crowdingDistance. But in the paper \"Improving PSO-base Multi-Objective Optimization using Crowding, Mutation and epsilon-Dominance\" by Sierra and Coello, they select the leader by means of a binary tournament based on the crowding value of the leaders. I want to know whether it would lead to difference in performance?"}}
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