{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T16:21:53Z","timestamp":1789143713875,"version":"build-2803163510"},"reference-count":30,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"21","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Electron. Express"],"published-print":{"date-parts":[[2024,11,10]]},"DOI":"10.1587\/elex.21.20240492","type":"journal-article","created":{"date-parts":[[2024,9,26]],"date-time":"2024-09-26T22:12:58Z","timestamp":1727388778000},"page":"20240492-20240492","source":"Crossref","is-referenced-by-count":6,"title":["Efficient microwave filter design using differential evolution algorithm with chain local search in MOEA\/D framework"],"prefix":"10.1587","volume":"21","author":[{"given":"Zeyu","family":"Wang","sequence":"first","affiliation":[{"name":"School of Transportation Institute, Inner Mongolia University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lu","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Transportation Institute, Inner Mongolia University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kun-Lai","family":"Li","sequence":"additional","affiliation":[{"name":"School of Electronics and Information Engineering, Inner Mongolia University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liansheng","family":"Qi","sequence":"additional","affiliation":[{"name":"School of Transportation Institute, Inner Mongolia University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] L. Bi, <i>et al<\/i>.: \u201cIntelligent tuning of microwave cavity filters using granular multi-swarm particle swarm optimization,\u201d IEEE Trans. Ind. Electron. <b>68<\/b> (2021) 12901 (DOI: 10.1109\/TIE.2020.3040658).","DOI":"10.1109\/TIE.2020.3040658"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] L. Xue, <i>et al<\/i>.: \u201cAn unsupervised microwave filter design optimization method based on a hybrid surrogate model-assisted evolutionary algorithm,\u201d IEEE Trans. Microw. Theory Techn. <b>71<\/b> (2022) 1159 (DOI: 10.1109\/TMTT.2022.3219072).","DOI":"10.1109\/TMTT.2022.3219072"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] W. Li, <i>et al<\/i>.: \u201cSynthesis design of a high selective dual-wideband filtering power divider based on genetic algorithm,\u201d IEEE Trans. Plasma Sci. <b>51<\/b> (2023) 3709 (DOI: 10.1109\/TPS.2023.3332118).","DOI":"10.1109\/TPS.2023.3332118"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] Y. Cai, <i>et al<\/i>.: \u201cDesign method of lcl filter for grid-connected inverter based on particle swarm optimization and screening method,\u201d IEEE Trans. Power Electron. <b>36<\/b> (2021) 10097 (DOI: 10.1109\/TPEL.2021.3064701).","DOI":"10.1109\/TPEL.2021.3064701"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] B.-S. Chen, <i>et al<\/i>.: \u201cSecurity-enhanced filter design for stochastic systems under malicious attack via smoothed signal model and multiobjective estimation method,\u201d IEEE Trans. Signal Process. <b>68<\/b> (2020) 4971 (DOI: 10.1109\/TSP.2020.3019136).","DOI":"10.1109\/TSP.2020.3019136"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] Q. Zhang and H. Li: \u201cMoea\/d: A multiobjective evolutionary algorithm based on decomposition,\u201d IEEE Trans. Evol. Comput. <b>11<\/b> (2007) 712 (DOI: 10.1109\/TEVC.2007.892759).","DOI":"10.1109\/TEVC.2007.892759"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] Y. Wei, <i>et al<\/i>.: \u201cEfficient microwave filter design by a surrogate-model-assisted decomposition-based multi-objective evolutionary algorithm,\u201d Electronics <b>11<\/b> (2022) 3309 (DOI: 10.3390\/electronics11203309).","DOI":"10.3390\/electronics11203309"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] D.W. Ding, <i>et al<\/i>.: \u201cMOEA\/D-GO+ FDTD for optimization design of fragment-type structure,\u201d Prog. Electromagn. Res. M <b>58<\/b> (2017) 117 (DOI: 10.2528\/PIERM17042702).","DOI":"10.2528\/PIERM17042702"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] W. Kong, <i>et al<\/i>.: \u201cOptimization design of fragment-type microstrip filter using boundary-based filtering operator,\u201d IEICE Electron. Express <b>15<\/b> (2018) 20180499 (DOI: 10.1587\/elex.15.20180499).","DOI":"10.1587\/elex.15.20180499"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] D. Li, <i>et al<\/i>.: \u201cMultiobjective program and hybrid imperialist competitive algorithm for the mixed-model two-sided assembly lines subject to multiple constraints,\u201d IEEE Trans. Syst., Man, Cybern. Syst. <b>48<\/b> (2016) 119 (DOI: 10.1109\/TSMC.2016.2598685).","DOI":"10.1109\/TSMC.2016.2598685"},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] P. Jiang, <i>et al<\/i>.: \u201cA variable neighborhood search-based hybrid multiobjective evolutionary algorithm for HazMat heterogeneous vehicle routing problem with time windows,\u201d IEEE Syst. J. <b>14<\/b> (2020) 4344 (DOI: 10.1109\/JSYST.2020.2966788).","DOI":"10.1109\/JSYST.2020.2966788"},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] Y. Li, <i>et al<\/i>.: \u201cA hybrid algorithm based on nsga-ii and mopso for multi-objective designs of electromagnetic devices,\u201d IEEE Trans. Magn. <b>59<\/b> (2023) 1 (DOI: 10.1109\/TMAG.2023.3250319).","DOI":"10.1109\/TMAG.2023.3250319"},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] E.A. Almabsout, <i>et al<\/i>.: \u201cA hybrid local search-genetic algorithm for simultaneous placement of dg units and shunt capacitors in radial distribution systems,\u201d IEEE Access <b>8<\/b> (2020) 54465 (DOI: 10.1109\/ACCESS.2020.2981406).","DOI":"10.1109\/ACCESS.2020.2981406"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] L. Sun, <i>et al<\/i>.: \u201cA hybrid cooperative coevolution algorithm for fuzzy flexible job shop scheduling,\u201d IEEE Trans. Fuzzy Syst. <b>27<\/b> (2019) 1008 (DOI: 10.1109\/TFUZZ.2019.2895562).","DOI":"10.1109\/TFUZZ.2019.2895562"},{"key":"15","doi-asserted-by":"crossref","unstructured":"[15] Q. Luo, <i>et al<\/i>.: \u201cHybrid multi-objective optimization approach with pareto local search for collaborative truck-drone routing problems considering flexible time windows,\u201d IEEE Trans. Intell. Transp. Syst. <b>23<\/b> (2022) 13011 (DOI: 10.1109\/TITS.2021.3119080).","DOI":"10.1109\/TITS.2021.3119080"},{"key":"16","doi-asserted-by":"crossref","unstructured":"[16] W. Said and A.M. Mostafa: \u201cTowards a hybrid immune algorithm based on danger theory for database security,\u201d IEEE Access <b>8<\/b> (2020) 145332 (DOI: 10.1109\/ACCESS.2020.3015399).","DOI":"10.1109\/ACCESS.2020.3015399"},{"key":"17","doi-asserted-by":"crossref","unstructured":"[17] P. Zhang, <i>et al<\/i>.: \u201cA hybrid artificial immune-simulated annealing algorithm for multiroute job shop scheduling problem with continuous limited output buffers,\u201d IEEE Trans. Cybern. <b>52<\/b> (2022) 12112 (DOI: 10.1109\/TCYB.2021.3081805).","DOI":"10.1109\/TCYB.2021.3081805"},{"key":"18","doi-asserted-by":"crossref","unstructured":"[18] X. Wang, <i>et al<\/i>.: \u201cA novel hybrid ant colony optimization algorithm for emergency transportation problems during post-disaster scenarios,\u201d IEEE Trans. Syst., Man, Cybern. Syst. <b>48<\/b> (2016) 545 (DOI: 10.1109\/TSMC.2016.2606440).","DOI":"10.1109\/TSMC.2016.2606440"},{"key":"19","doi-asserted-by":"crossref","unstructured":"[19] S.-Z. Zhou, <i>et al<\/i>.: \u201cA multi-objective ant colony system algorithm for airline crew rostering problem with fairness and satisfaction,\u201d IEEE Trans. Intell. Transp. Syst. <b>22<\/b> (2021) 6784 (DOI: 10.1109\/TITS.2020.2994779).","DOI":"10.1109\/TITS.2020.2994779"},{"key":"20","doi-asserted-by":"crossref","unstructured":"[20] J.Q. Li, <i>et al<\/i>.: \u201cHybrid artificial bee colony algorithm for a parallel batching distributed flow-shop problem with deteriorating jobs,\u201d IEEE Trans. Cybern. <b>6<\/b> (2019) 2425 (DOI: 10.1109\/TCYB.2019.2943606).","DOI":"10.1109\/TCYB.2019.2943606"},{"key":"21","doi-asserted-by":"crossref","unstructured":"[21] T.W. Liao: \u201cIntegrated inbound vehicle routing and scheduling under a fixed outbound schedule at a multi-door cross-dock terminal,\u201d IEEE Trans. Intell. Transp. Syst. <b>23<\/b> (2022) 13217 (DOI: 10.1109\/TITS.2021.3122396).","DOI":"10.1109\/TITS.2021.3122396"},{"key":"22","doi-asserted-by":"crossref","unstructured":"[22] C. Yu, <i>et al<\/i>.: \u201cConvolutional neural network with adaptive batch-size training technique for high-dimensional inverse modeling of microwave filters,\u201d IEEE Microw. Wireless Technol. Lett. <b>33<\/b> (2022) 122 (DOI: 10.1109\/LMWC.2022.3208355).","DOI":"10.1109\/LMWC.2022.3208355"},{"key":"23","doi-asserted-by":"crossref","unstructured":"[23] H.Y. Luo, <i>et al<\/i>.: \u201cShape modeling of microstrip filters based on convolutional neural network,\u201d IEEE Microw. Wireless Compon. Lett. <b>32<\/b> (2022) 1019 (DOI: 10.1109\/LMWC.2022.3162414).","DOI":"10.1109\/LMWC.2022.3162414"},{"key":"24","doi-asserted-by":"crossref","unstructured":"[24] J. Jin, <i>et al<\/i>.: \u201cDeep neural network technique for high-dimensional microwave modeling and applications to parameter extraction of microwave filters,\u201d IEEE Trans. Microw. Theory Techn. <b>67<\/b> (2019) 4140 (DOI: 10.1109\/TMTT.2019.2932738).","DOI":"10.1109\/TMTT.2019.2932738"},{"key":"25","doi-asserted-by":"crossref","unstructured":"[25] J.J. Sun, <i>et al<\/i>.: \u201cA deep neural network based tuning technique of lossy microwave coupled resonator filters,\u201d Microw. Wireless Opt. Lett. <b>61<\/b> (2019) 2169 (DOI: 10.1002\/mop.31866).","DOI":"10.1002\/mop.31866"},{"key":"26","doi-asserted-by":"crossref","unstructured":"[26] A. Liu, <i>et al<\/i>.: \u201cAutomatic coupler design using data-driven-based modular neural network,\u201d IEEE Microw. Wireless Compon. Lett. <b>31<\/b> (2021) 1259 (DOI: 10.1109\/LMWC.2021.3106270).","DOI":"10.1109\/LMWC.2021.3106270"},{"key":"27","doi-asserted-by":"crossref","unstructured":"[27] Y. Wu, <i>et al<\/i>.: \u201cArtificial neural network for dimensionality reduction and its application to microwave filters inverse modeling,\u201d IEEE Trans. Microw. Theory Techn. <b>70<\/b> (2022) 4683 (DOI: 10.1109\/TMTT.2022.3161928).","DOI":"10.1109\/TMTT.2022.3161928"},{"key":"28","doi-asserted-by":"crossref","unstructured":"[28] P.M. Watson, <i>et al<\/i>.: \u201cElectromagnetic-artificial neural network model for synthesis of physical dimensions for multilayer asymmetric coupled transmission structures,\u201d Int. J. RF Microw. Comput.-Aided Eng. <b>9<\/b> (1999) 175 (DOI: 10.1002\/(SICI)1099-047X(199905)9:3%3C175::AID-MMCE4%3E3.0.CO;2-P).","DOI":"10.1002\/(SICI)1099-047X(199905)9:3<175::AID-MMCE4>3.0.CO;2-P"},{"key":"29","doi-asserted-by":"crossref","unstructured":"[29] G. Fedi, <i>et al<\/i>.: \u201cDirect-coupled cavity filters design using a hybrid feedforward neural network-finite elements procedure,\u201d Int. J. RF Microw. Comp.-Aided Eng. <b>9<\/b> (1999) 287 (DOI: 10.1002\/(SICI)1099-047X(199905)9:3%3C287::AID-MMCE12%3E3.0.CO;2-%23).","DOI":"10.1002\/(SICI)1099-047X(199905)9:3<287::AID-MMCE12>3.0.CO;2-#"},{"key":"30","doi-asserted-by":"crossref","unstructured":"[30] Y. Zhang, <i>et al<\/i>.: \u201cCoupling matrix extraction of microwave filters by using one-dimensional convolutional autoencoders,\u201d Front. Phys. <b>9<\/b> (2021) 716881 (DOI: 10.3389\/fphy.2021.716881).","DOI":"10.3389\/fphy.2021.716881"}],"container-title":["IEICE Electronics Express"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/elex\/21\/21\/21_21.20240492\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,16]],"date-time":"2024-11-16T03:28:19Z","timestamp":1731727699000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/elex\/21\/21\/21_21.20240492\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,10]]},"references-count":30,"journal-issue":{"issue":"21","published-print":{"date-parts":[[2024]]}},"URL":"https:\/\/doi.org\/10.1587\/elex.21.20240492","relation":{},"ISSN":["1349-2543"],"issn-type":[{"value":"1349-2543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,10]]},"article-number":"21.20240492"}}