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The NP-Hard problems can be solved using metaheuristic methods to evolve the population over many generations, thereby finding approximate solutions. However, most metaheuristics have a weakness that can be dropping into local extreme after a number of evolution generations. The new algorithm proposed in this paper will resolve that by detecting local extremes and escaping that by moving the population to new space. That is executed using the Migration technique combined with the Particle Swarm Optimization (PSO) method. The new algorithm is called M-PSO. The experiments were conducted with the iMOPSE benchmark dataset and showed that the M-PSO was more practical than the early algorithms.<\/jats:p>","DOI":"10.1155\/2022\/6230145","type":"journal-article","created":{"date-parts":[[2022,2,15]],"date-time":"2022-02-15T22:20:33Z","timestamp":1644963633000},"page":"1-12","source":"Crossref","is-referenced-by-count":7,"title":["An Effective Hybrid Algorithm Based on Particle Swarm Optimization with Migration Method for Solving the Multiskill Resource-Constrained Project Scheduling Problem"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5197-8066","authenticated-orcid":true,"given":"Huu","family":"Dang Quoc","sequence":"first","affiliation":[{"name":"Thuong Mai University, Ha Noi, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8386-272X","authenticated-orcid":true,"given":"Loc","family":"Nguyen The","sequence":"additional","affiliation":[{"name":"Ha Noi National University of Education, Ha Noi, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cuong","family":"Nguyen Doan","sequence":"additional","affiliation":[{"name":"Military Institute of Science and Technology, Ha Noi, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","volume-title":"Resource Constrained Project Scheduling: Models, Algorithms, Extensions and Applications","author":"A. 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