{"id":5762,"date":"2025-08-04T16:26:25","date_gmt":"2025-08-04T12:56:25","guid":{"rendered":"https:\/\/arrahimipour.com\/articles-en\/designing-hybrid-methodologies-in-artificial-intelligence-for-solving-complex-problems\/"},"modified":"2026-03-28T19:40:01","modified_gmt":"2026-03-28T16:10:01","slug":"designing-hybrid-methodologies-in-artificial-intelligence-for-solving-complex-problems","status":"publish","type":"post","link":"https:\/\/arrahimipour.com\/en\/articles-en\/designing-hybrid-methodologies-in-artificial-intelligence-for-solving-complex-problems\/","title":{"rendered":"Designing Hybrid Methodologies in Artificial Intelligence for Solving Complex Problems"},"content":{"rendered":"<p dir=\"ltr\">Complex problems are usually characterized by nonlinear nature, multiple criteria, and large-scale data, making them difficult to solve using a single artificial intelligence technique. This paper examines the importance of employing hybrid methods in artificial intelligence to improve the accuracy and efficiency of solving complex problems. A hybrid approach refers to the simultaneous or sequential use of multiple AI methods within an integrated framework. Various studies have shown that combining human and machine intelligence (hybrid intelligence) is effective in improving the accuracy of machine learning models, and that the use of metaheuristic algorithms in hybrid frameworks can provide faster convergence for neural networks. Empirical findings also indicate that hybrid AI models significantly increase prediction accuracy in complex problems.<\/p>\n<p dir=\"ltr\">Article Link:<\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/civilica.com\/doc\/2323037\/\">https:\/\/civilica.com\/doc\/2323037\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Complex problems are usually characterized by nonlinear nature, multiple criteria, and large-scale data, making them difficult to solve using a single artificial intelligence technique. This paper examines the importance of employing hybrid methods in artificial intelligence to improve the accuracy and efficiency of solving complex problems. A hybrid approach refers to the simultaneous or sequential [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":5736,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[39],"tags":[67,81,83,82,66],"class_list":["post-5762","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-articles-en","tag-ai-optimization","tag-artificial-intelligence","tag-complex-problem-solving","tag-hybrid-ai","tag-machine-learning"],"acf":[],"_links":{"self":[{"href":"https:\/\/arrahimipour.com\/en\/wp-json\/wp\/v2\/posts\/5762","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/arrahimipour.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/arrahimipour.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/arrahimipour.com\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/arrahimipour.com\/en\/wp-json\/wp\/v2\/comments?post=5762"}],"version-history":[{"count":0,"href":"https:\/\/arrahimipour.com\/en\/wp-json\/wp\/v2\/posts\/5762\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/arrahimipour.com\/en\/wp-json\/wp\/v2\/media\/5736"}],"wp:attachment":[{"href":"https:\/\/arrahimipour.com\/en\/wp-json\/wp\/v2\/media?parent=5762"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/arrahimipour.com\/en\/wp-json\/wp\/v2\/categories?post=5762"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/arrahimipour.com\/en\/wp-json\/wp\/v2\/tags?post=5762"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}