{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T06:43:37Z","timestamp":1740120217107,"version":"3.37.3"},"reference-count":29,"publisher":"World Scientific Pub Co Pte Ltd","issue":"04","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61662090"],"award-info":[{"award-number":["61662090"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2018,4]]},"abstract":"<jats:p> Considering that the invasive weed optimization (IWO) algorithm and the harmony search (HS) algorithm are inclined to fall into local optima with low convergence precision when they are used to deal with complex function optimization problems, this paper proposes a hybrid algorithm, HS\u2013IWO algorithm, which is combined HS algorithm and IWO algorithm. We introduce strategies such as fixing the number of seeds, reinitializing limit solutions, multi-individual global HS, parameter optimization, etc. In order to make the two algorithms take advantage of their merits, they are mixed organically in this paper. Through tests on some complex functions of benchmark, the experimental results display that the HS\u2013IWO algorithm has the efficiency and robustness of the algorithms. It is an optimization algorithm that is highly effective and stable, especially to be applied to the optimization of complicated functions compared with other intelligent optimization algorithms. <\/jats:p>","DOI":"10.1142\/s0218001418590061","type":"journal-article","created":{"date-parts":[[2017,8,14]],"date-time":"2017-08-14T02:22:28Z","timestamp":1502677348000},"page":"1859006","source":"Crossref","is-referenced-by-count":4,"title":["An Effective and Efficient Hybrid Algorithm Based on HS\u2013IWO for Global Optimization"],"prefix":"10.1142","volume":"32","author":[{"given":"Aijia","family":"Ouyang","sequence":"first","affiliation":[{"name":"Department of Information Engineering, Zunyi Normal University, Zunyi, Guizhou 563006, P. R. China"},{"name":"Guangxi High School Key Laboratory of Complex, System and Computational Intelligence, Nanning 530006, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuo","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Electronics and Information Engineering, Jinggangshan University, Ji\u2019an, Jiangxi 343009, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuyu","family":"Peng","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Zunyi Normal University, Zunyi, Guizhou 563006, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qian","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Zunyi Normal University, Zunyi, Guizhou 563006, P. R. 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