{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T12:13:08Z","timestamp":1770293588390,"version":"3.49.0"},"publisher-location":"Singapore","reference-count":28,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789811929472","type":"print"},{"value":"9789811929489","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-981-19-2948-9_25","type":"book-chapter","created":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T06:03:51Z","timestamp":1662012231000},"page":"259-269","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["AMHS: Archive-Based Multi-objective Harmony Search Algorithm"],"prefix":"10.1007","author":[{"given":"Nima","family":"Khodadadi","sequence":"first","affiliation":[]},{"given":"Farhad Soleimanian","family":"Gharehchopogh","sequence":"additional","affiliation":[]},{"given":"Benyam\u0131n","family":"Abdollahzadeh","sequence":"additional","affiliation":[]},{"given":"Seyedali","family":"Mirjalili","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,9,2]]},"reference":[{"key":"25_CR1","unstructured":"Yang X-S (2010) Nature-inspired metaheuristic algorithms. Luniver Press"},{"key":"25_CR2","doi-asserted-by":"crossref","unstructured":"Khodadadi N, Azizi M, Talatahari S, Sareh P (2021) Multi-objective crystal structure algorithm (MOCryStAl): introduction and performance evaluation. IEEE Access","DOI":"10.1109\/ACCESS.2021.3106487"},{"issue":"2","key":"25_CR3","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1109\/LSP.2003.821649","volume":"11","author":"DP Mandic","year":"2004","unstructured":"Mandic DP (2004) A generalized normalized gradient descent algorithm. IEEE Sig Process Lett 11(2):115\u2013118","journal-title":"IEEE Sig Process Lett"},{"key":"25_CR4","first-page":"82","volume":"81","author":"B Selman","year":"2006","unstructured":"Selman B, Gomes CP (2006) Hill-climbing search. Encycl Cogn Sci 81:82","journal-title":"Encycl Cogn Sci"},{"key":"25_CR5","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1016\/j.ins.2020.06.037","volume":"540","author":"I Ahmadianfar","year":"2020","unstructured":"Ahmadianfar I, Bozorg-Haddad O, Chu X (2020) Gradient-based optimizer: a new metaheuristic optimization algorithm. Inf Sci (Ny) 540:131\u2013159","journal-title":"Inf Sci (Ny)"},{"issue":"2","key":"25_CR6","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1007\/BF00175354","volume":"4","author":"D Whitley","year":"1994","unstructured":"Whitley D (1994) A genetic algorithm tutorial. Stat Comput 4(2):65\u201385. https:\/\/doi.org\/10.1007\/BF00175354","journal-title":"Stat Comput"},{"key":"25_CR7","doi-asserted-by":"crossref","unstructured":"Kennedy J, Eberhart R (1995) Particle swarm optimization. In: Proceedings of ICNN\u201995-international conference on neural networks, vol 4, pp 1942\u20131948","DOI":"10.1109\/ICNN.1995.488968"},{"issue":"2","key":"25_CR8","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1177\/003754970107600201","volume":"76","author":"ZW Geem","year":"2001","unstructured":"Geem ZW, Kim JH, Loganathan GV (2001) A new heuristic optimization algorithm: harmony search. SIMULATION 76(2):60\u201368","journal-title":"SIMULATION"},{"key":"25_CR9","doi-asserted-by":"crossref","unstructured":"Kaveh A, Talatahari S, Khodadadi N (2020) Stochastic paint optimizer: theory and application in civil engineering. Eng Comput, 1\u201332","DOI":"10.1007\/s00366-020-01179-5"},{"issue":"2\u20133","key":"25_CR10","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1016\/j.tcs.2005.05.020","volume":"344","author":"M Dorigo","year":"2005","unstructured":"Dorigo M, Blum C (2005) Ant colony optimization theory: a survey. Theor Comput Sci 344(2\u20133):243\u2013278","journal-title":"Theor Comput Sci"},{"issue":"2","key":"25_CR11","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1007\/s40996-019-00280-0","volume":"44","author":"A Kaveh","year":"2019","unstructured":"Kaveh A, Talatahari S, Khodadadi N (2019) Hybrid invasive weed optimization-shuffled frog-leaping algorithm for optimal design of truss structures. Iran J Sci Technol Trans Civ Eng 44(2):405\u2013420","journal-title":"Iran J Sci Technol Trans Civ Eng"},{"key":"25_CR12","doi-asserted-by":"crossref","unstructured":"Yang X-S (2010) A new metaheuristic bat-inspired algorithm. Nature inspired cooperative strategies for optimization (NICSO 2010). Springer, pp 65\u201374","DOI":"10.1007\/978-3-642-12538-6_6"},{"issue":"3","key":"25_CR13","first-page":"904","volume":"64","author":"A Kaveh","year":"2020","unstructured":"Kaveh A, Eslamlou AD, Khodadadi N (2020) Dynamic water strider algorithm for optimal design of skeletal structures. Period Polytech Civ Eng 64(3):904\u2013916","journal-title":"Period Polytech Civ Eng"},{"key":"25_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2021.107224","volume":"156","author":"H Karami","year":"2021","unstructured":"Karami H, Anaraki MV, Farzin S, Mirjalili S (2021) Flow direction algorithm (FDA): a novel optimization approach for solving optimization problems. Comput Ind Eng 156:107224","journal-title":"Comput Ind Eng"},{"issue":"1","key":"25_CR15","first-page":"31","volume":"11","author":"A Kaveh","year":"2021","unstructured":"Kaveh A, Khodadadi N, Talatahari S (2021) A comparative study for the optimal design of steel structures using CSS and ACSS algorithms. Iran Univ Sci Technol 11(1):31\u201354","journal-title":"Iran Univ Sci Technol"},{"key":"25_CR16","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1016\/j.eswa.2018.08.051","volume":"116","author":"S Arora","year":"2019","unstructured":"Arora S, Anand P (2019) Binary butterfly optimization approaches for feature selection. Expert Syst Appl 116:147\u2013160","journal-title":"Expert Syst Appl"},{"issue":"3","key":"25_CR17","first-page":"882","volume":"63","author":"A Kaveh","year":"2019","unstructured":"Kaveh A, Talatahari S, Khodadadi N (2019) The hybrid invasive weed optimization-shuffled frog-leaping algorithm applied to optimal design of frame structures. Period Polytech Civ Eng 63(3):882\u2013897","journal-title":"Period Polytech Civ Eng"},{"key":"25_CR18","doi-asserted-by":"publisher","unstructured":"Coello CAC, Lechuga MS (2002) MOPSO: a proposal for multiple objective particle swarm optimization. In: Proceedings of the 2002 congress on evolutionary computation. CEC\u201902 (Cat. No.02TH8600), vol 2, pp 1051\u20131056. https:\/\/doi.org\/10.1109\/CEC.2002.1004388.","DOI":"10.1109\/CEC.2002.1004388"},{"issue":"1","key":"25_CR19","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1007\/s10489-016-0825-8","volume":"46","author":"S Mirjalili","year":"2017","unstructured":"Mirjalili S, Jangir P, Saremi S (2017) Multi-objective ant lion optimizer: a multi-objective optimization algorithm for solving engineering problems. Appl Intell 46(1):79\u201395","journal-title":"Appl Intell"},{"issue":"2","key":"25_CR20","doi-asserted-by":"publisher","first-page":"495","DOI":"10.1007\/s00521-015-1870-7","volume":"27","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili S, Mirjalili SM, Hatamlou A (2016) Multi-verse optimizer: a nature-inspired algorithm for global optimization. Neural Comput Appl 27(2):495\u2013513","journal-title":"Neural Comput Appl"},{"issue":"3","key":"25_CR21","doi-asserted-by":"publisher","first-page":"745","DOI":"10.1016\/j.ijepes.2010.12.031","volume":"33","author":"S Sivasubramani","year":"2011","unstructured":"Sivasubramani S, Swarup KS (2011) Multi-objective harmony search algorithm for optimal power flow problem. Int J Electr Power Energy Syst 33(3):745\u2013752","journal-title":"Int J Electr Power Energy Syst"},{"issue":"8","key":"25_CR22","doi-asserted-by":"publisher","first-page":"692","DOI":"10.1080\/15325008.2019.1627599","volume":"47","author":"L Bhamidi","year":"2019","unstructured":"Bhamidi L, Shanmugavelu S (2019) Multi-objective harmony search algorithm for dynamic optimal power flow with demand side management. Electr Power Compon Syst 47(8):692\u2013702","journal-title":"Electr Power Compon Syst"},{"key":"25_CR23","doi-asserted-by":"crossref","unstructured":"Pavelski LM, Almeida CP, Goncalves RA (2012) Harmony search for multi-objective optimization. In: 2012 Brazilian symposium on neural networks, pp 220\u2013225","DOI":"10.1109\/SBRN.2012.19"},{"key":"25_CR24","doi-asserted-by":"crossref","unstructured":"Sheng W, Liu K, Li Y, Liu Y, Meng X (2014) Improved multiobjective harmony search algorithm with application to placement and sizing of distributed generation. Math Probl Eng 2014","DOI":"10.1155\/2014\/871540"},{"key":"25_CR25","doi-asserted-by":"crossref","unstructured":"Qu B-Y, Li GS, Guo QQ, Yan L, Chai XZ, Guo ZQ (2019) A niching multi-objective harmony search algorithm for multimodal multi-objective problems. In: 2019 IEEE congress on evolutionary computation (CEC), pp 1267\u20131274","DOI":"10.1109\/CEC.2019.8790286"},{"issue":"1","key":"25_CR26","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1109\/4235.585893","volume":"1","author":"DH Wolpert","year":"1997","unstructured":"Wolpert DH, Macready WG (1997) No free lunch theorems for optimization. IEEE Trans Evol Comput 1(1):67\u201382","journal-title":"IEEE Trans Evol Comput"},{"key":"25_CR27","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1016\/j.eswa.2018.12.003","volume":"120","author":"S Zapotecas-Martinez","year":"2019","unstructured":"Zapotecas-Martinez S, Garcia-Najera A, Lopez-Jaimes A (2019) Multi-objective grey wolf optimizer based on decomposition. Expert Syst Appl 120:357\u2013371","journal-title":"Expert Syst Appl"},{"key":"25_CR28","doi-asserted-by":"crossref","unstructured":"Coello CAC, Sierra MR (2004) A study of the parallelization of a coevolutionary multi-objective evolutionary algorithm. In: Mexican international conference on artificial intelligence, pp 688\u2013697","DOI":"10.1007\/978-3-540-24694-7_71"}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-19-2948-9_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T06:20:30Z","timestamp":1662013230000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-19-2948-9_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9789811929472","9789811929489"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-981-19-2948-9_25","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"value":"2367-4512","type":"print"},{"value":"2367-4520","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"2 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}