{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T00:08:38Z","timestamp":1743034118125,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":28,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819615346"},{"type":"electronic","value":"9789819615353"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-1535-3_28","type":"book-chapter","created":{"date-parts":[[2025,2,13]],"date-time":"2025-02-13T12:24:33Z","timestamp":1739449473000},"page":"277-288","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Evolving Effective Drug Therapies with Multi-objective Genetic Algorithm"],"prefix":"10.1007","author":[{"given":"Tiancong","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Shaowei","family":"Weng","sequence":"additional","affiliation":[]},{"given":"Shu-Chuan","family":"Chu","sequence":"additional","affiliation":[]},{"given":"Trong-The","family":"Nguyen","sequence":"additional","affiliation":[]},{"given":"Thi-Kien","family":"Dao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,2,14]]},"reference":[{"key":"28_CR1","doi-asserted-by":"publisher","first-page":"511","DOI":"10.2165\/11631740-000000000-00000","volume":"29","author":"AJ Cruz-Jentoft","year":"2012","unstructured":"Cruz-Jentoft, A.J., Boland, B., Rexach, L.: Drug therapy optimization at the end of life. Drugs Aging 29, 511\u2013521 (2012)","journal-title":"Drugs Aging"},{"key":"28_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1752-0509-7-31","volume":"7","author":"A Vazquez","year":"2013","unstructured":"Vazquez, A.: Optimization of personalized therapies for anticancer treatment. BMC Syst. Biol. 7, 1\u201311 (2013)","journal-title":"BMC Syst. Biol."},{"key":"28_CR3","doi-asserted-by":"publisher","first-page":"1512","DOI":"10.1053\/j.gastro.2022.02.014","volume":"162","author":"PM Irving","year":"2022","unstructured":"Irving, P.M., Gecse, K.B.: Optimizing therapies using therapeutic drug monitoring: current strategies and future perspectives. Gastroenterology 162, 1512\u20131524 (2022)","journal-title":"Gastroenterology"},{"key":"28_CR4","doi-asserted-by":"publisher","first-page":"930","DOI":"10.3390\/app10030930","volume":"10","author":"S-C Chu","year":"2020","unstructured":"Chu, S.-C., Du, Z.-G., Pan, J.-S.: Symbiotic organism search algorithm with multi-group quantum-behavior communication scheme applied in wireless sensor networks. Appl. Sci. 10, 930 (2020)","journal-title":"Appl. Sci."},{"key":"28_CR5","doi-asserted-by":"publisher","first-page":"655","DOI":"10.1080\/17512433.2023.2233438","volume":"16","author":"A Fujimura","year":"2023","unstructured":"Fujimura, A., Ushijima, K.: Understanding the role of chronopharmacology for drug optimization: what do we know? Exp. Rev. Clin. Pharmacol. 16, 655\u2013668 (2023)","journal-title":"Exp. Rev. Clin. Pharmacol."},{"key":"28_CR6","doi-asserted-by":"publisher","first-page":"992","DOI":"10.1016\/j.ress.2005.11.018","volume":"91","author":"A Konak","year":"2006","unstructured":"Konak, A., Coit, D.W., Smith, A.E.: Multi-objective optimization using genetic algorithms: a tutorial. Reliab. Eng. Syst. Saf. 91, 992\u20131007 (2006)","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"28_CR7","doi-asserted-by":"publisher","first-page":"2435","DOI":"10.1007\/s10462-022-10219-z","volume":"56","author":"Z Al Ani","year":"2023","unstructured":"Al Ani, Z., Gujarathi, A.M., Al-Muhtaseb, A.H.: A state of art review on applications of multi-objective evolutionary algorithms in chemicals production reactors. Artif. Intell. Rev. 56, 2435\u20132496 (2023)","journal-title":"Artif. Intell. Rev."},{"key":"28_CR8","doi-asserted-by":"publisher","first-page":"3155","DOI":"10.3390\/ijms20133155","volume":"20","author":"J-E S\u00e1nchez-Aparicio","year":"2019","unstructured":"S\u00e1nchez-Aparicio, J.-E., Sciortino, G., Herrmannsdoerfer, D.V., Chueca, P.O., Pedregal, J.R.-G., Mar\u00e9chal, J.-D.: GPathfinder: identification of ligand-binding pathways by a multi-objective genetic algorithm. Int. J. Mol. Sci. 20, 3155 (2019)","journal-title":"Int. J. Mol. Sci."},{"key":"28_CR9","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1016\/j.cie.2006.07.011","volume":"51","author":"F Altiparmak","year":"2006","unstructured":"Altiparmak, F., Gen, M., Lin, L., Paksoy, T.: A genetic algorithm approach for multi-objective optimization of supply chain networks. Comput. Ind. Eng. 51, 196\u2013215 (2006)","journal-title":"Comput. Ind. Eng."},{"key":"28_CR10","doi-asserted-by":"publisher","first-page":"2077","DOI":"10.3390\/sym15112077","volume":"15","author":"J-S Pan","year":"2023","unstructured":"Pan, J.-S., Zhang, Z., Chu, S.-C., Lee, Z.-J., Li, W.: Application of diversity-maintaining adaptive Rafflesia optimization algorithm to engineering optimisation problems. Symmetry. 15, 2077 (2023)","journal-title":"Symmetry."},{"key":"28_CR11","doi-asserted-by":"publisher","unstructured":"The parallel genetic algorithm as function optimizer. Parall. Comput. 17, 619\u2013632 (1991). https:\/\/doi.org\/10.1016\/S0167-8191(05)80052-3","DOI":"10.1016\/S0167-8191(05)80052-3"},{"key":"28_CR12","doi-asserted-by":"publisher","unstructured":"Shieh, C.-S., Nguyen, T.-T., Wang, H.-Y., Dao, T.-K.: Enhanced diversity herds grey wolf optimizer for optimal area coverage in wireless sensor networks. (2017). https:\/\/doi.org\/10.1007\/978-3-319-48490-7_21","DOI":"10.1007\/978-3-319-48490-7_21"},{"key":"28_CR13","first-page":"317","volume":"7","author":"L Jiang","year":"2016","unstructured":"Jiang, L., Xue, X., Tsai, P., Pan, J., September, R.: A novel ontology matching technology based on NSGA-II. J. Inf. Hiding Multim. Signal Process. 7, 317\u2013324 (2016)","journal-title":"J. Inf. Hiding Multim. Signal Process."},{"key":"28_CR14","doi-asserted-by":"crossref","unstructured":"Chu, S.-C., Nguyen, T.-T., Nguyen, V.-T., Nguyen, T.-D., Dao, T.-K.: Presented at the an Optimal Power System Multi-objective Environmental-Economic Planning Based on Moth-Flame Optimization BT - Advances in Intelligent Information Hiding and Multimedia Signal Processing. (2023)","DOI":"10.1007\/978-981-99-0105-0_11"},{"key":"28_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/ACCESS.2020.3045975","volume":"8","author":"T-T Nguyen","year":"2020","unstructured":"Nguyen, T.-T., Wang, H.-J., Dao, T.-K., Pan, J.-S., Liu, J.-H., Weng, S.-W.: An improved slime mold algorithm and its application for optimal operation of cascade hydropower stations. IEEE Access 8, 1 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.3045975","journal-title":"IEEE Access"},{"key":"28_CR16","doi-asserted-by":"publisher","DOI":"10.3390\/sym16040462","author":"T-T Nguyen","year":"2024","unstructured":"Nguyen, T.-T., Dao, T.-K., Pham, D.-T., Duong, T.-H.: Exploring the molecular terrain: a survey of analytical methods for biological network. Analysis (2024). https:\/\/doi.org\/10.3390\/sym16040462","journal-title":"Analysis"},{"key":"28_CR17","doi-asserted-by":"publisher","unstructured":"Blanco-Gonz\u00e1lez, A., et al.: The Role of AI in Drug Discovery: Challenges, Opportunities, and Strategies (2023). https:\/\/doi.org\/10.3390\/ph16060891","DOI":"10.3390\/ph16060891"},{"key":"28_CR18","doi-asserted-by":"crossref","unstructured":"Liu, X., Xu, Z., Liu, G., Liu, L.: Intelligent compound selection of anti-cancer drugs based on multi-objective optimization. In: 2023 International Conference on Intelligent Supercomputing and BioPharma (ISBP), pp. 48\u201353. IEEE (2023)","DOI":"10.1109\/ISBP57705.2023.10061321"},{"key":"28_CR19","doi-asserted-by":"publisher","first-page":"7582","DOI":"10.1038\/s41598-023-34643-5","volume":"13","author":"R Selvam","year":"2023","unstructured":"Selvam, R., Lim, I.H.Y., Lewis, J.C., Lim, C.H., Yap, M.K.K., Tan, H.S.: Selecting antibacterial aptamers against the BamA protein in Pseudomonas aeruginosa by incorporating genetic algorithm to optimise computational screening method. Sci. Rep. 13, 7582 (2023)","journal-title":"Sci. Rep."},{"key":"28_CR20","first-page":"41","volume":"14","author":"D-T Pham","year":"2023","unstructured":"Pham, D.-T., Hoang, D.-T.-T., Nguyen, T.-T., Nguyen, V.-T., Nguyen, T.-D.: An improved whale optimization algorithm for optimal multi-threshold image segmentation. J. Inf. Hiding Multim. Signal Process. 14, 41\u201353 (2023)","journal-title":"J. Inf. Hiding Multim. Signal Process."},{"key":"28_CR21","doi-asserted-by":"publisher","first-page":"126","DOI":"10.15212\/AMM-2023-0007","volume":"2","author":"M Zhang","year":"2023","unstructured":"Zhang, M., Otsuki, K., Li, W.: Molecular networking as a natural products discovery strategy. Acta Materia Medica 2, 126\u2013141 (2023)","journal-title":"Acta Materia Medica"},{"key":"28_CR22","doi-asserted-by":"publisher","first-page":"124311","DOI":"10.1109\/ACCESS.2020.3005247","volume":"8","author":"T Dao","year":"2020","unstructured":"Dao, T., Yu, J., Nguyen, T., Ngo, T.: A hybrid improved MVO and FNN for identifying collected data failure in cluster heads in WSN. IEEE Access 8, 124311\u2013124322 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.3005247","journal-title":"IEEE Access"},{"key":"28_CR23","doi-asserted-by":"publisher","first-page":"174142","DOI":"10.1109\/ACCESS.2020.3025833","volume":"8","author":"T-T Nguyen","year":"2020","unstructured":"Nguyen, T.-T., Wang, H.-J., Dao, T.-K., Pan, J.-S., Ngo, T.-G., Yu, J.: A scheme of color image multithreshold segmentation based on improved Moth-Flame algorithm. IEEE Access. 8, 174142\u2013174159 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.3025833","journal-title":"IEEE Access."},{"key":"28_CR24","doi-asserted-by":"publisher","unstructured":"Liu, N., Pan, J.-S., Wang, J., Nguyen, T.-T.: An adaptation multi-group quasi-affine transformation evolutionary algorithm for global optimization and its application in node localization in wireless sensor networks. Sensors (Switzerland) 19 (2019). https:\/\/doi.org\/10.3390\/s19194112","DOI":"10.3390\/s19194112"},{"key":"28_CR25","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2022.107925","volume":"208","author":"J-S Pan","year":"2022","unstructured":"Pan, J.-S., Wang, H.-J., Nguyen, T.-T., Zou, F.-M., Chu, S.-C.: Dynamic reconfiguration of distribution network based on dynamic optimal period division and multi-group flight slime Mould algorithm. Electric Power Syst. Res. 208, 107925 (2022)","journal-title":"Electric Power Syst. Res."},{"key":"28_CR26","doi-asserted-by":"publisher","unstructured":"Nguyen, T.-T., Dao, T.-K., Nguyen, T.-D.: A Sensor Network Coverage Planning Based on Adjusted Single Candidate Optimizer (2023). https:\/\/doi.org\/10.32604\/iasc.2023.041356","DOI":"10.32604\/iasc.2023.041356"},{"key":"28_CR27","doi-asserted-by":"publisher","unstructured":"Dao, T.-K., Ngo, T.-G., Pan, J.-S., Nguyen, T.-T.-T., Nguyen, T.-T.: Enhancing Path Planning Capabilities of Automated Guided Vehicles in Dynamic Environments: Multi-Objective PSO and Dynamic-Window Approach (2024). https:\/\/doi.org\/10.3390\/biomimetics9010035","DOI":"10.3390\/biomimetics9010035"},{"key":"28_CR28","doi-asserted-by":"publisher","first-page":"3195","DOI":"10.1109\/TCSI.2013.2264694","volume":"60","author":"JS Pan","year":"2013","unstructured":"Pan, J.S., Lee, C.Y., Meher, P.K.: Low-latency digit-serial and digit-parallel systolic multipliers for large binary extension fields. IEEE Trans. Circuits Syst. I Regul. Pap. 60, 3195\u20133204 (2013). https:\/\/doi.org\/10.1109\/TCSI.2013.2264694","journal-title":"IEEE Trans. Circuits Syst. I Regul. Pap."}],"container-title":["Lecture Notes in Electrical Engineering","Genetic and Evolutionary Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-1535-3_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,13]],"date-time":"2025-02-13T12:24:36Z","timestamp":1739449476000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-1535-3_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819615346","9789819615353"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-1535-3_28","relation":{},"ISSN":["1876-1100","1876-1119"],"issn-type":[{"type":"print","value":"1876-1100"},{"type":"electronic","value":"1876-1119"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"14 February 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICGEC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Genetic and Evolutionary Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Miyazaki","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 August 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icgec2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icgec24.github.io\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}