{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T14:57:47Z","timestamp":1775919467930,"version":"3.50.1"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61803237"],"award-info":[{"award-number":["61803237"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61602287"],"award-info":[{"award-number":["61602287"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2922451","type":"journal-article","created":{"date-parts":[[2019,6,13]],"date-time":"2019-06-13T19:42:13Z","timestamp":1560454933000},"page":"133058-133068","source":"Crossref","is-referenced-by-count":12,"title":["An Efficient Optimization Algorithm for Extreme Value of Nonlinear Function Based on the SAGA and BP Algorithm"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9554-5641","authenticated-orcid":false,"given":"Jie","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongsheng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8216-6738","authenticated-orcid":false,"given":"Zhenhua","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6420-6230","authenticated-orcid":false,"given":"Jiaxi","family":"Duan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoxiang","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","first-page":"127","article-title":"Improvement of roulette selection method based on genetic algorithm","volume":"33","author":"liang","year":"2009","journal-title":"Info Tech J"},{"key":"ref32","first-page":"21","article-title":"Neural network genetic algorithm function extreme value optimization","year":"2010","journal-title":"Matlab Neural Network 30 Case Analysis"},{"key":"ref31","first-page":"149","article-title":"Short-term load forecasting based on new trial-and-error BP model","author":"liu","year":"2014","journal-title":"Prcd Smrt City Pwr Tech Forum"},{"key":"ref30","year":"0","journal-title":"Neural Networks"},{"key":"ref35","first-page":"34","article-title":"Neural network genetic algorithm function extremum optimization-non-linear function extremum optimization","author":"wang","year":"2013","journal-title":"Proc MATLAB Neural Netw 43 Cases"},{"key":"ref34","first-page":"83","article-title":"An improved genetic algorithm based on elite retention strategy and explosive operator","volume":"37","author":"luo","year":"2018","journal-title":"J Xihua Univ"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.desal.2012.02.002"},{"key":"ref11","first-page":"64","article-title":"Application of improved adaptive genetic algorithm in BP neural network learning","volume":"25","author":"li","year":"2010","journal-title":"J Tianjin Univ Sci Technol"},{"key":"ref12","article-title":"Application of genetic algorithm optimization neural network in recommendation system","author":"liu","year":"2017"},{"key":"ref13","first-page":"255","article-title":"Energy-saving turbulence optimization design based on neural network and genetic algorithm","volume":"35","author":"song","year":"2018","journal-title":"Comput Simul"},{"key":"ref14","first-page":"187","article-title":"Research on GA-BP network based on hadoop in mountain flood forecasting","volume":"24","author":"sun","year":"2016","journal-title":"Comput Meas Control"},{"key":"ref15","first-page":"263","article-title":"Research on function extreme value optimization based on improved PSO algorithm","volume":"32","author":"yang","year":"2015","journal-title":"Comput Simul"},{"key":"ref16","first-page":"800","article-title":"Combination optimization of function optimal extreme problems","volume":"46","author":"wu","year":"2017","journal-title":"Journal of Inner Mongolia Normal University"},{"key":"ref17","first-page":"36","article-title":"Neural network genetic algorithm function extreme value optimization","year":"2010","journal-title":"Proc 30 Case Anal MATLAB Neural Network"},{"key":"ref18","first-page":"26","article-title":"Parallel iterative optimization based on BP neural network and genetic algorithm","volume":"37","author":"hu","year":"2019","journal-title":"Electric Machinery"},{"key":"ref19","first-page":"146","article-title":"A review of the improvement of BP neural network algorithm","volume":"4","author":"you","year":"2018","journal-title":"Pvt Tech"},{"key":"ref28","first-page":"393","article-title":"A deformation of kolmogorov&#x2019;s theorem","volume":"4","author":"wang","year":"2008","journal-title":"J Math"},{"key":"ref4","first-page":"191","article-title":"Research and application of neural network based on genetic algorithm optimization","volume":"14","author":"yu","year":"2018","journal-title":"Computer Knowledge and Technology"},{"key":"ref27","author":"wang","year":"2013","journal-title":"Structure Optimization of Feedforward Neural Network Based on Genetic Algorithm"},{"key":"ref3","first-page":"34","article-title":"An improved extreme value optimization method for RBF-PSO algorithm","volume":"28","author":"xu","year":"2012","journal-title":"J Soochow Univ"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.fss.2009.11.013"},{"key":"ref29","first-page":"31","article-title":"Study on the method of determining the number of nodes in BP neural network implicit layer","volume":"28","author":"wang","year":"2018","journal-title":"Cmpt Tech Dev"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2786271"},{"key":"ref8","first-page":"173","article-title":"Performance comparison between GA-BP neural network and BP neural network","volume":"30","author":"liu","year":"2013","journal-title":"China Health Stat"},{"key":"ref7","first-page":"34","article-title":"Improvement of BP neural network based on genetic algorithm","volume":"35","author":"ma","year":"2013","journal-title":"J Yunnan Univ"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2877798"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.02.049"},{"key":"ref1","first-page":"163","article-title":"Extreme value optimization control strategy for air\/fuel ratio of billet heating furnace combustion system","volume":"33","author":"zhang","year":"2007","journal-title":"Sci-Tech Inf Develop Econ"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/321127.321128"},{"key":"ref22","first-page":"145","article-title":"Application research based on improved genetic algorithm","author":"guo","year":"2017","journal-title":"Wireless Internet Technology"},{"key":"ref21","author":"holland","year":"1975","journal-title":"Adaptation in Natural and Artificial Systems"},{"key":"ref24","first-page":"53","article-title":"Improved adaptive genetic algorithm","volume":"46","author":"zhang","year":"2010","journal-title":"Comput Eng Appl"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/21.286385"},{"key":"ref26","first-page":"41","article-title":"Optimization problem of mobile robot path based on improved adaptive genetic algorithm","volume":"37","author":"hu","year":"2011","journal-title":"J Lanzhou Univ Tech"},{"key":"ref25","first-page":"41","article-title":"Improvement of adaptive genetic algorithm and its application in system identification","volume":"18","author":"ren","year":"2006","journal-title":"J Syst Simul"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08736290.pdf?arnumber=8736290","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,10]],"date-time":"2021-08-10T19:41:19Z","timestamp":1628624479000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8736290\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2922451","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}