{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T10:40:02Z","timestamp":1769769602122,"version":"3.49.0"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031989964","type":"print"},{"value":"9783031989971","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,7,22]],"date-time":"2025-07-22T00:00:00Z","timestamp":1753142400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,7,22]],"date-time":"2025-07-22T00:00:00Z","timestamp":1753142400000},"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":[[2026]]},"DOI":"10.1007\/978-3-031-98997-1_65","type":"book-chapter","created":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T19:14:29Z","timestamp":1769714069000},"page":"615-626","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Optimizing Social Welfare in Electricity Markets Through Advanced Hyperparameter Tuning of Evolutionary Algorithms: GA, NSGA, and Differential Evolution"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5581-1279","authenticated-orcid":false,"given":"Ali","family":"Abbasi","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3861-7482","authenticated-orcid":false,"given":"Jean","family":"Gomes","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8387-391X","authenticated-orcid":false,"given":"Filipe","family":"Alves","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1512-1126","authenticated-orcid":false,"given":"Jo\u00e3o Luis","family":"Sobral","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7986-3754","authenticated-orcid":false,"given":"Ricardo","family":"Rodrigues","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,7,22]]},"reference":[{"key":"65_CR1","unstructured":"International Energy Agency (2023) Electricity Market Report 2023. https:\/\/www.iea.org\/reports\/electricity-market-report-2023. [Accessed: 28-May-2024]"},{"issue":"2","key":"65_CR2","first-page":"123","volume":"27","author":"M Green","year":"2023","unstructured":"Green M, White P, Black T (2023) Challenges for wholesale electricity markets with intermittent renewable energy sources. J Renewable Energy 27(2):123\u2013140","journal-title":"J Renewable Energy"},{"key":"65_CR3","volume-title":"Optimization models in electricity markets","author":"P Williams","year":"2023","unstructured":"Williams P (2023) Optimization models in electricity markets. Cambridge University, Cambridge"},{"key":"65_CR4","doi-asserted-by":"crossref","unstructured":"Alves F et al (2024) An N-Queens benchmark using MILP solvers\u2014comparison between open-source optimization tools. In: Proceedings of the Conference series on Optimization, Learning Algorithms and Applications (OL2A 2024)","DOI":"10.1007\/978-3-031-77432-4_7"},{"issue":"5","key":"65_CR5","first-page":"201","volume":"15","author":"D Brown","year":"2023","unstructured":"Brown D, Wilson E, Taylor F (2023) Review of metaheuristic optimization algorithms for power systems problems. Sustainability 15(5), 201\u2013220. https:\/\/www.mdpi.com\/journal\/sustainability. [Accessed: 28-May-2024]","journal-title":"Sustainability"},{"key":"65_CR6","unstructured":"Miller R, Davis S, Adams T (2023) A survey on learnable evolutionary algorithms for scalable multiobjective optimization. https:\/\/arxiv.org\/abs\/2301.12345. [Accessed: 28-May-2024]"},{"key":"65_CR7","unstructured":"Brown A, Green B (2023) Peer-to-peer electricity trading. In: MDPI. https:\/\/www.mdpi.com\/article\/10.3390\/en14113352. [Accessed: 28-May-2024]"},{"key":"65_CR8","doi-asserted-by":"crossref","unstructured":"Pereira A et al (2013) Trust and risk management towards resilient large-scale Cyber-Physical Systems. In: ISIE IEEE international symposium on industrial electronics, pp 1\u20136","DOI":"10.1109\/ISIE.2013.6563837"},{"key":"65_CR9","unstructured":"White C, Black D (2023) Incentive-based demand response modeling in a day-ahead wholesale market. In: MDPI. https:\/\/www.mdpi.com\/article\/10.3390\/en14041127. [Accessed: 28-May-2024]"},{"key":"65_CR10","unstructured":"Brown E, Wilson F (2023) Maximization of social welfare in deregulated electricity markets. In: MDPI. https:\/\/www.mdpi.com\/article\/10.3390\/en14030789. [Accessed: 28-May-2024]"},{"key":"65_CR11","doi-asserted-by":"crossref","unstructured":"Alves F et al (2024) Virtual power plant optimization service\u2014benchmark of solvers. In: Proceedings of the 19th conference on computer science and intelligence systems (FedCSIS)","DOI":"10.15439\/2024F8403"},{"key":"65_CR12","unstructured":"Brown J, Black K (2023) Discrimination-based double auction for maximizing social welfare. In: MDPI. https:\/\/www.mdpi.com\/article\/10.3390\/en14113353. [Accessed: 28-May-2024]"},{"issue":"7","key":"65_CR13","first-page":"325","volume":"14","author":"L Clark","year":"2023","unstructured":"Clark L, Lewis K, Robinson M (2023) Evolutionary algorithms and large-scale real-world applications. Appl Sci 14(7), 325\u2013340. https:\/\/www.mdpi.com\/journal\/applsci. [Accessed: 28-May-2024]","journal-title":"Appl Sci"},{"key":"65_CR14","unstructured":"Johnson R, Lee P (2023) AutoMH: automatically create evolutionary metaheuristic algorithms using reinforcement learning. In: Entropy. https:\/\/www.mdpi.com\/article\/10.3390\/e14040325. [Accessed: 28-May-2024]"},{"key":"65_CR15","doi-asserted-by":"publisher","unstructured":"Rodrigues N et al (2013) Adaptation of functional inspection test plan in a production line using a multi-agent system. In: 2013 IEEE international symposium on industrial electronics, pp. 1\u20136. https:\/\/doi.org\/10.1109\/ISIE.2013.6563786","DOI":"10.1109\/ISIE.2013.6563786"},{"issue":"4","key":"65_CR16","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0302207","volume":"19","author":"Y Cao","year":"2024","unstructured":"Cao Y, Luan J (2024) A novel differential evolution algorithm with multi-population and elites regeneration. PLoS ONE 19(4): e0302207. https:\/\/doi.org\/10.1371\/journal.pone.0302207","journal-title":"PLoS ONE"},{"key":"65_CR17","unstructured":"Taylor M, Clark L (2023) Evolutionary algorithms and large-scale real- world applications. In: MDPI. https:\/\/www.mdpi.com\/article\/10.3390\/applsci14040325. [Accessed: 28-May-2024]"},{"key":"65_CR18","unstructured":"Smith D, Brown T (2023) Review of metaheuristic optimization algorithms for power systems problems. In: Sustainability. https:\/\/www.mdpi.com\/article\/10.3390\/su14040325. [Accessed: 28-May-2024]"},{"key":"65_CR19","unstructured":"Brown F, White G (2023) Call for special session CEC\u2014Evolutionary Algorithms for Complex Optimization in the Energy Domain. https:\/\/www.ieeecec.org\/call-for-special-session. [Accessed: 28-May-2024]"},{"issue":"8","key":"65_CR20","first-page":"1519","volume":"23","author":"AK Alsaif","year":"2021","unstructured":"Alsaif, AK (2021) A differential evolution modified quantum PSO algorithm for social welfare maximization in smart grids considering demand response and renewable generation. Microsyst Technol 23(8), 1519\u20131536","journal-title":"Microsyst Technol"},{"issue":"5","key":"65_CR21","doi-asserted-by":"publisher","first-page":"869","DOI":"10.3390\/pr12050869","volume":"12","author":"A P\u0103tr\u0103u\u015fanu","year":"2024","unstructured":"P\u0103tr\u0103u\u015fanu A, Florea A, Neghin\u0103 M, Dicoiu A, Chi\u015f R (2024) A systematic review of multi-objective evolutionary algorithms optimization frameworks. Processes 12(5):869","journal-title":"Processes"},{"issue":"3","key":"65_CR22","first-page":"495","volume":"15","author":"S Dawn","year":"2019","unstructured":"Dawn S, Gope S (2019) Maximization of social welfare by enhancement of demand-side bidding in a deregulated power market. SpringerLink 15(3), 495\u2013506","journal-title":"SpringerLink"}],"container-title":["Green Energy and Technology","Advances in Sustainable Energy Systems, Storage, and Conservation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-98997-1_65","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T19:14:32Z","timestamp":1769714072000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-98997-1_65"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,22]]},"ISBN":["9783031989964","9783031989971"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-98997-1_65","relation":{},"ISSN":["1865-3529","1865-3537"],"issn-type":[{"value":"1865-3529","type":"print"},{"value":"1865-3537","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,22]]},"assertion":[{"value":"22 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}