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The bottom layer is composed of a series of genetic algorithm by subgroup that contributes to the global searching ability of the algorithm. The upper layer is an elite group consisting of the best individuals of each subgroup and the particle swarm algorithm is used to perform precise local search. The experimental results demonstrate that the HCGA-PSO algorithm has better convergence and stronger continuous search capability, which makes it suitable for solving complex optimization problems.<\/p>","DOI":"10.4018\/ijcini.2019040102","type":"journal-article","created":{"date-parts":[[2019,4,4]],"date-time":"2019-04-04T10:05:34Z","timestamp":1554372334000},"page":"18-29","source":"Crossref","is-referenced-by-count":2,"title":["Research on an Improved Coordinating Method Based on Genetic Algorithms and Particle Swarm Optimization"],"prefix":"10.4018","volume":"13","author":[{"given":"Rongrong","family":"Li","sequence":"first","affiliation":[{"name":"Guangdong University of Science and Technology, Dongguan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Linrun","family":"Qiu","sequence":"additional","affiliation":[{"name":"Guangdong University of Science and Technology, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dongbo","family":"Zhang","sequence":"additional","affiliation":[{"name":"Guangdong Institute of Intelligent Manufacturing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJCINI.2019040102-0","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2010.07.043"},{"key":"IJCINI.2019040102-1","doi-asserted-by":"publisher","DOI":"10.1080\/15567240903394265"},{"issue":"11","key":"IJCINI.2019040102-2","first-page":"14984","article-title":"Optimal sensor placement for leak location in water distribution networks using genetic algorithms.","volume":"13","author":"M. 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