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To address this challenge, the use of nature-inspired or evolutionary algorithms to find satisfactory solutions in a timely manner has gained significant attention, with reference point-based algorithms being one of the prominent approaches. However, when dealing with nonuniform, degenerate, and discrete Pareto fronts in the target space, using a considerable number of reference points may become ineffective, leading to a loss of diversity in exploration and exploitation during the problem-solving process. Consequently, the distribution of the solutions is adversely affected. To overcome this challenge, this paper presents a strategy to estimate the eigenvalues of the Pareto front in a timely manner. When encountering nonuniform, degenerate, and discrete Pareto fronts, a combination of radial space partitioning and angle selection mechanisms is employed to address these issues. Subsequently, an adaptive selection-based many-objective evolutionary algorithm (ASMaOEA) is proposed. Extensive comparisons with several competing methods on 31 representative benchmark problems demonstrate that ASMaOEA can provide a flexible configuration for decision engines in three typical scenarios involving cyber-physical-social systems. Furthermore, the analysis confirms that ASMaOEA can reduce the bit error rate and improve the system\u2019s throughput, thereby offering substantial benefits to the overall performance of the system.<\/jats:p>","DOI":"10.1007\/s10489-024-05398-x","type":"journal-article","created":{"date-parts":[[2024,3,19]],"date-time":"2024-03-19T08:02:17Z","timestamp":1710835337000},"page":"4043-4061","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Cognitive radio resource scheduling using an adaptive multiobjective evolutionary algorithm"],"prefix":"10.1007","volume":"54","author":[{"given":"Hongbo","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yizhe","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fanbing","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,3,19]]},"reference":[{"key":"5398_CR1","doi-asserted-by":"publisher","first-page":"20 848","DOI":"10.1109\/ACCESS.2018.2823741","volume":"6","author":"M Ilyas","year":"2018","unstructured":"Ilyas M, Ucan ON, Bayat O, Yang X, Abbasi QH (2018) Mathematical modeling of ultra widebandin vivoradio channel. 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Author Yi-Zhe Wang declares that she has no conflicts of interest. Author Fan-Bing Zeng declares that she has no conflicts of interest. Author Jin Wang declares that he has no conflicts of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}