乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T18:10:42Z","timestamp":1725819042813},"reference-count":70,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2021,9,21]],"date-time":"2021-09-21T00:00:00Z","timestamp":1632182400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2021,9,21]],"date-time":"2021-09-21T00:00:00Z","timestamp":1632182400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2022,2]]},"abstract":"Abstract<\/jats:title>This paper investigates the performance of several meta-heuristic algorithms, including Particle Swarm Optimisation\u00a0(PSO), different variants of Differential Evolution (DE), Biogeography-Based Optimisation (BBO), Cultural Algorithm (CA), Optics-Inspired Optimisation\u00a0(OIO), and League Championship Algorithm\u00a0(LCA), for optimum layup of laminated composite plates. The study provides detailed Pseudo codes for different algorithms. The buckling capacity maximisation of a 64-layer laminated composite plate under various load scenarios has been considered as the benchmark problem, in which the design variables are the stacking sequences of layers. A Deep Statistical Comparison\u00a0(DSC) method is employed to rank the performance of different algorithms. The DSC uses a nonparametric two-sample Kolmogorov-Smirnov test to conduct the performance comparisons between the algorithms. The overall performance rankings obtained from the DSC suggest that the LCA, OIO, and PSO algorithms perform remarkably better in comparison to other algorithms. The comparisons provide some interesting conclusions on the performance of different algorithms.<\/jats:p>","DOI":"10.1007\/s00521-021-06519-0","type":"journal-article","created":{"date-parts":[[2021,9,21]],"date-time":"2021-09-21T12:27:59Z","timestamp":1632227279000},"page":"2031-2054","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Performance assessment of meta-heuristics for composite layup optimisation"],"prefix":"10.1007","volume":"34","author":[{"given":"Shahin","family":"Jalili","sequence":"first","affiliation":[]},{"given":"Reza","family":"Khani","sequence":"additional","affiliation":[]},{"given":"Alireza","family":"Maheri","sequence":"additional","affiliation":[]},{"given":"Yousef","family":"Hosseinzadeh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,9,21]]},"reference":[{"key":"6519_CR1","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-84882-831-5","volume-title":"Composite materials: science and applications","author":"DLD Chung","year":"2010","unstructured":"Chung DLD (2010) Composite materials: science and applications. Springer, London"},{"key":"6519_CR2","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1016\/j.compstruct.2018.03.063","volume":"195","author":"S Nikbakt","year":"2018","unstructured":"Nikbakt S, Kamarian S, Shakeri M (2018) A review on optimization of composite structures Part I: laminated composites. Compos Struct 195:158\u2013185","journal-title":"Compos Struct"},{"issue":"5","key":"6519_CR3","doi-asserted-by":"crossref","first-page":"951","DOI":"10.2514\/3.11710","volume":"31","author":"RL Riche","year":"1993","unstructured":"Riche RL, Haftka RT (1993) Optimization of laminate stacking sequence for buckling load maximization by genetic algorithm. AIAA J 31(5):951\u2013956","journal-title":"AIAA J"},{"issue":"1","key":"6519_CR4","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.compstruct.2004.09.008","volume":"71","author":"O Erdal","year":"2005","unstructured":"Erdal O, Sonmez FO (2005) Optimum design of composite laminates for maximum buckling load capacity using simulated annealing. Compos Struct 71(1):45\u201352","journal-title":"Compos Struct"},{"key":"6519_CR5","doi-asserted-by":"crossref","first-page":"725","DOI":"10.4028\/www.scientific.net\/KEM.348-349.725","volume":"348","author":"O Soykasap","year":"2007","unstructured":"Soykasap O, Karakaya S (2007) Structural optimization of laminated composite plates for maximum buckling load capacity using genetic algorithm. Key Eng Mater 348:725\u2013728","journal-title":"Key Eng Mater"},{"issue":"1","key":"6519_CR6","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1038\/scientificamerican0792-66","volume":"267","author":"JH Holland","year":"1992","unstructured":"Holland JH (1992) Genetic algorithms. Sci Am 267(1):66\u201373","journal-title":"Sci Am"},{"key":"6519_CR7","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1007\/978-94-015-7744-1_2","volume-title":"Simulated annealing: theory and applications","author":"PJ Van Laarhoven","year":"1987","unstructured":"Van Laarhoven PJ, Aarts EH (1987) Simulated annealing. Simulated annealing: theory and applications. Springer, Netherlands, pp 7\u201315"},{"key":"6519_CR8","doi-asserted-by":"crossref","unstructured":"Price KV (2013) Differential evolution. Handbook of optimization. pp. 187\u2013214","DOI":"10.1007\/978-3-642-30504-7_8"},{"key":"6519_CR9","doi-asserted-by":"crossref","unstructured":"Dorigo M, Di Caro G (1999) Ant colony optimization: a new meta-heuristic. In: Proceed 1999 Congr Evol Comput-CEC99 (Cat. No. 99TH8406). vol 2. pp. 1470\u20131477","DOI":"10.1109\/CEC.1999.782657"},{"key":"6519_CR10","doi-asserted-by":"crossref","unstructured":"Kennedy J, Eberhart R (1995) Particle swarm optimization. In: Proceed ICNN\u201995-Int Conf Neural Netw vol. 4. pp. 1942\u20131948","DOI":"10.1109\/ICNN.1995.488968"},{"key":"6519_CR11","first-page":"131","volume":"24","author":"RG Reynolds","year":"1994","unstructured":"Reynolds RG (1994) An introduction to cultural algorithms. Proceed Third Annu Conf Evolut Program 24:131\u2013139","journal-title":"Proceed Third Annu Conf Evolut Program"},{"key":"6519_CR12","doi-asserted-by":"crossref","first-page":"100846","DOI":"10.1016\/j.swevo.2021.100846","volume":"62","author":"A Maheri","year":"2021","unstructured":"Maheri A, Jalili S, Hosseinzadeh Y, Khani R, Miryahyavi M (2021) A comprehensive survey on cultural algorithms. Swarm Evolut Comput 62:100846","journal-title":"Swarm Evolut Comput"},{"issue":"6","key":"6519_CR13","doi-asserted-by":"crossref","first-page":"702","DOI":"10.1109\/TEVC.2008.919004","volume":"12","author":"D Simon","year":"2008","unstructured":"Simon D (2008) Biogeography-based optimization. IEEE Trans Evol Comput 12(6):702\u2013713","journal-title":"IEEE Trans Evol Comput"},{"issue":"2","key":"6519_CR14","doi-asserted-by":"crossref","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":"6519_CR15","doi-asserted-by":"crossref","first-page":"100844","DOI":"10.1016\/j.swevo.2021.100844","volume":"62","author":"Y Wu","year":"2021","unstructured":"Wu Y (2021) A survey on population-based meta-heuristic algorithms for motion planning of aircraft. Swarm Evolut Comput 62:100844","journal-title":"Swarm Evolut Comput"},{"key":"6519_CR16","doi-asserted-by":"crossref","first-page":"100719","DOI":"10.1016\/j.swevo.2020.100719","volume":"57","author":"KZ Gao","year":"2020","unstructured":"Gao KZ, He ZM, Huang Y, Duan PY, Suganthan PN (2020) A survey on meta-heuristics for solving disassembly line balancing, planning and scheduling problems in remanufacturing. Swarm Evolut Comput 57:100719","journal-title":"Swarm Evolut Comput"},{"key":"6519_CR17","doi-asserted-by":"crossref","first-page":"396","DOI":"10.1016\/j.ins.2014.03.128","volume":"279","author":"O Abu Arqub","year":"2014","unstructured":"Abu Arqub O, Abo-Hammour Z (2014) Numerical solution of systems of second-order boundary value problems using continuous genetic algorithm. Inf Sci 279:396\u2013415","journal-title":"Inf Sci"},{"issue":"6","key":"6519_CR18","doi-asserted-by":"crossref","first-page":"2809","DOI":"10.12785\/amis\/080617","volume":"8","author":"Z Abo-Hammour","year":"2014","unstructured":"Abo-Hammour Z, Abu Arqub O, Alsmadi O, Momani S, Alsaedi A (2014) An optimization algorithm for solving systems of singular boundary value problems. Appl Math Inform Sci 8(6):2809","journal-title":"Appl Math Inform Sci"},{"key":"6519_CR19","doi-asserted-by":"crossref","first-page":"831657","DOI":"10.1155\/2013\/831657","volume":"2013","author":"Z Abo-Hammour","year":"2013","unstructured":"Abo-Hammour Z, Alsmadi O, Momani S, Abu Arqub O (2013) A genetic algorithm approach for prediction of linear dynamical systems. Math Probl Eng 2013:831657","journal-title":"Math Probl Eng"},{"key":"6519_CR20","doi-asserted-by":"crossref","first-page":"205391","DOI":"10.1155\/2012\/205391","volume":"2012","author":"O Abu Arqub","year":"2012","unstructured":"Abu Arqub O, Abo-Hammour Z, Momani S, Shawagfeh N (2012) Solving singular two-point boundary value problems using continuous genetic algorithm. Abstr Appl Anal 2012:205391","journal-title":"Abstr Appl Anal"},{"key":"6519_CR21","doi-asserted-by":"crossref","first-page":"100865","DOI":"10.1016\/j.swevo.2021.100865","volume":"63","author":"S Jalili","year":"2021","unstructured":"Jalili S, Nallaperuma S, Keedwell E, Dawn A, Oakes-Ash L (2021) Application of metaheuristics for signal optimisation in transportation networks: a comprehensive survey. Swarm Evolut Comput 63:100865","journal-title":"Swarm Evolut Comput"},{"issue":"2","key":"6519_CR22","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.compositesa.2007.10.011","volume":"39","author":"F Aymerich","year":"2008","unstructured":"Aymerich F, Serra M (2008) Optimization of laminate stacking sequence for maximum buckling load using the ant colony optimization (ACO) metaheuristic. Compos A Appl Sci Manuf 39(2):262\u2013272","journal-title":"Compos A Appl Sci Manuf"},{"issue":"5","key":"6519_CR23","doi-asserted-by":"crossref","first-page":"711","DOI":"10.1007\/s00158-009-0447-4","volume":"41","author":"W Wang","year":"2010","unstructured":"Wang W, Guo S, Chang N, Zhao F, Yang W (2010) A modified ant colony algorithm for the stacking sequence optimisation of a rectangular laminate. Struct Multidiscip Optim 41(5):711\u2013720","journal-title":"Struct Multidiscip Optim"},{"issue":"16","key":"6519_CR24","doi-asserted-by":"crossref","first-page":"1233","DOI":"10.1177\/0731684416646860","volume":"35","author":"HA Deveci","year":"2016","unstructured":"Deveci HA, Aydin L, Secil AH (2016) Buckling optimization of composite laminates using a hybrid algorithm under Puck failure criterion constraint. J Reinf Plast Compos 35(16):1233\u20131247","journal-title":"J Reinf Plast Compos"},{"issue":"6","key":"6519_CR25","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1177\/0731684415574228","volume":"34","author":"K Lakshmi","year":"2015","unstructured":"Lakshmi K, Rao A, Rama M (2015) Optimal design of laminate composite plates using dynamic hybrid adaptive harmony search algorithm. J Reinf Plast Compos 34(6):493\u2013518","journal-title":"J Reinf Plast Compos"},{"key":"6519_CR26","doi-asserted-by":"crossref","first-page":"101477","DOI":"10.1016\/j.jobe.2020.101477","volume":"32","author":"Y Hosseinzadeh","year":"2020","unstructured":"Hosseinzadeh Y, Jalili S, Khani R (2020) Investigating the effects of flax fibers application on multi-objective optimization of laminated composite plates for simultaneous cost minimization and frequency gap maximization. J Build Eng 32:101477","journal-title":"J Build Eng"},{"issue":"5","key":"6519_CR27","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1007\/s00158-008-0344-2","volume":"39","author":"S Karakaya","year":"2009","unstructured":"Karakaya S, Soykasap O (2009) Buckling optimization of laminated composite plates using genetic algorithm and generalized pattern search algorithm. Struct Multidiscip Optim 39(5):477","journal-title":"Struct Multidiscip Optim"},{"issue":"2","key":"6519_CR28","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1007\/s00158-009-0417-x","volume":"41","author":"N Chang","year":"2010","unstructured":"Chang N, Wang W, Yang W, Wang J (2010) Ply stacking sequence optimization of composite laminate by permutation discrete particle swarm optimization. Struct Multidiscip Optim 41(2):179\u2013187","journal-title":"Struct Multidiscip Optim"},{"key":"6519_CR29","doi-asserted-by":"crossref","first-page":"3094","DOI":"10.1016\/j.istruc.2021.06.026","volume":"33","author":"S Jalili","year":"2021","unstructured":"Jalili S, Khani R, Hosseinzadeh Y (2021) On the performance of flax fibres in multi-objective design of laminated composite plates for buckling and cost. Structures 33:3094\u20133106","journal-title":"Structures"},{"issue":"1","key":"6519_CR30","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1007\/s00158-010-0538-2","volume":"43","author":"S Karakaya","year":"2011","unstructured":"Karakaya S, Soykasap O (2011) Natural frequency and buckling optimization of laminated hybrid composite plates using genetic algorithm and simulated annealing. Struct Multidiscip Optim 43(1):61\u201372","journal-title":"Struct Multidiscip Optim"},{"issue":"4","key":"6519_CR31","doi-asserted-by":"crossref","first-page":"1551","DOI":"10.1007\/s00707-017-2068-0","volume":"229","author":"A Kaveh","year":"2018","unstructured":"Kaveh A, Dadras A, Malek NG (2018) Buckling load of laminated composite plates using three variants of the biogeography-based optimization algorithm. Acta Mech 229(4):1551\u20131566","journal-title":"Acta Mech"},{"key":"6519_CR32","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/j.compstruct.2016.02.034","volume":"143","author":"FS Almeida","year":"2016","unstructured":"Almeida FS (2016) Stacking sequence optimization for maximum buckling load of composite plates using harmony search algorithm. Compos Struct 143:287\u2013299","journal-title":"Compos Struct"},{"key":"6519_CR33","first-page":"2","volume":"5","author":"M Akcair","year":"2019","unstructured":"Akcair M, Savran M, Ayd\u0131n L, Ayakdas O, Ozturk S, Kucukdogan N (2019) Optimum design of anti-buckling behavior of graphite\/epoxy laminated composites by differential evolution and simulated annealing method. Res Eng Struct Mat 5:2","journal-title":"Res Eng Struct Mat"},{"issue":"3","key":"6519_CR34","doi-asserted-by":"crossref","first-page":"877","DOI":"10.1007\/s00158-018-2106-0","volume":"59","author":"A Kaveh","year":"2019","unstructured":"Kaveh A, Dadras A, Malek NG (2019) Robust design optimization of laminated plates under uncertain bounded buckling loads. Struct Multidiscip Optim 59(3):877\u2013891","journal-title":"Struct Multidiscip Optim"},{"issue":"4","key":"6519_CR35","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1016\/j.compstruct.2004.09.031","volume":"70","author":"ARM Rao","year":"2005","unstructured":"Rao ARM, Arvind N (2005) A scatter search algorithm for stacking sequence optimisation of laminate composites. Compos Struct 70(4):383\u2013402","journal-title":"Compos Struct"},{"issue":"4","key":"6519_CR36","first-page":"587","volume":"14","author":"A Kaveh","year":"2013","unstructured":"Kaveh A, Hashemi SB, Sheikholeslami R (2013) Optimal design of laminated composite structures via hybrid charged system search and particle swarm optimization. Asian J Civil Eng (Build Eng) 14(4):587\u2013604","journal-title":"Asian J Civil Eng (Build Eng)"},{"issue":"3","key":"6519_CR37","doi-asserted-by":"crossref","first-page":"813","DOI":"10.1007\/s00366-018-0634-2","volume":"35","author":"A Kaveh","year":"2019","unstructured":"Kaveh A, Dadras A, Malek NG (2019) Optimum stacking sequence design of composite laminates for maximum buckling load capacity using parameter-less optimization algorithms. Eng Comput 35(3):813\u2013832","journal-title":"Eng Comput"},{"issue":"12","key":"6519_CR38","doi-asserted-by":"crossref","first-page":"1769","DOI":"10.1016\/j.cad.2011.07.003","volume":"43","author":"AH Kashan","year":"2011","unstructured":"Kashan AH (2011) An efficient algorithm for constrained global optimization and application to mechanical engineering design: league championship algorithm (LCA). Comput Aided Des 43(12):1769\u20131792","journal-title":"Comput Aided Des"},{"key":"6519_CR39","doi-asserted-by":"crossref","first-page":"478","DOI":"10.1016\/j.asoc.2018.03.051","volume":"68","author":"MR Alimoradi","year":"2018","unstructured":"Alimoradi MR, Kashan AH (2018) A league championship algorithm equipped with network structure and backward Q-learning for extracting stock trading rules. Appl Soft Comput 68:478\u2013493","journal-title":"Appl Soft Comput"},{"issue":"2","key":"6519_CR40","doi-asserted-by":"crossref","first-page":"04016048","DOI":"10.1061\/(ASCE)CP.1943-5487.0000617","volume":"31","author":"S Jalili","year":"2017","unstructured":"Jalili S, Kashan AH, Hosseinzadeh Y (2017) League championship algorithms for optimum design of pin-jointed structures. J Comput Civ Eng 31(2):04016048","journal-title":"J Comput Civ Eng"},{"key":"6519_CR41","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.enconman.2014.06.088","volume":"87","author":"HREH Bouchekara","year":"2014","unstructured":"Bouchekara HREH, Abido MA, Chaib AE, Mehasni R (2014) Optimal power flow using the league championship algorithm: a case study of the Algerian power system. Energy Convers Manag 87:58\u201370","journal-title":"Energy Convers Manag"},{"issue":"2","key":"6519_CR42","first-page":"253","volume":"51","author":"AH Kashan","year":"2018","unstructured":"Kashan AH, Jalili S, Karimiyan S (2018) Optimum structural design with discrete variables using league championship algorithm. Civil Eng Infrastruct J 51(2):253\u2013275","journal-title":"Civil Eng Infrastruct J"},{"key":"6519_CR43","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1007\/978-981-13-6569-0_11","volume-title":"Socio-cultural inspired metaheuristics. Studies in computational intelligence","author":"Kashan A Husseinzadeh","year":"2019","unstructured":"Husseinzadeh Kashan A, Jalili S, Karimiyan S (2019) Premier league championship algorithm: a multi-population-based algorithm and its application on structural design optimization. In: Kulkarni AJ, Singh PK, Satapathy SC, Husseinzadeh Kashan A, Tai K (eds) Socio-cultural inspired metaheuristics. Studies in computational intelligence, vol 828. Springer, Singapore, pp 215\u2013240. https:\/\/doi.org\/10.1007\/978-981-13-6569-0_11"},{"key":"6519_CR44","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.cad.2014.12.007","volume":"63","author":"AH Kashan","year":"2015","unstructured":"Kashan AH (2015) An effective algorithm for constrained optimization based on optics inspired optimization (OIO). Comput-Aided Des 63:52\u201371","journal-title":"Comput-Aided Des"},{"issue":"3","key":"6519_CR45","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1007\/s12083-016-0531-7","volume":"10","author":"P Lalwani","year":"2017","unstructured":"Lalwani P, Banka H, Kumar C (2017) CRWO: Clustering and routing in wireless sensor networks using optics inspired optimization. Peer-to-Peer Netw App 10(3):453\u2013471","journal-title":"Peer-to-Peer Netw App"},{"issue":"12","key":"6519_CR46","doi-asserted-by":"crossref","first-page":"2134","DOI":"10.3390\/en10122134","volume":"10","author":"MT Ozdemir","year":"2017","unstructured":"Ozdemir MT, Ozturk D (2017) Comparative performance analysis of optimal PID parameters tuning based on the optics inspired optimization methods for automatic generation control. Energies 10(12):2134","journal-title":"Energies"},{"issue":"9","key":"6519_CR47","doi-asserted-by":"crossref","first-page":"e1466","DOI":"10.1002\/tal.1466","volume":"27","author":"S Jalili","year":"2018","unstructured":"Jalili S, Kashan AH (2018) Optimum discrete design of steel tower structures using optics inspired optimization method. Struct Des Tall Spec Build 27(9):e1466","journal-title":"Struct Des Tall Spec Build"},{"issue":"6","key":"6519_CR48","doi-asserted-by":"crossref","first-page":"e1598","DOI":"10.1002\/tal.1598","volume":"8","author":"S Jalili","year":"2019","unstructured":"Jalili S, Kashan AH (2019) An optics inspired optimization method for optimal design of truss structures. Struct Des Tall Spec Build 8(6):e1598","journal-title":"Struct Des Tall Spec Build"},{"key":"6519_CR49","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.swevo.2016.12.005","volume":"33","author":"M Mavrovouniotis","year":"2017","unstructured":"Mavrovouniotis M, Li C, Yang S (2017) A survey of swarm intelligence for dynamic optimization: algorithms and applications. Swarm Evolut Comput 33:1\u201317","journal-title":"Swarm Evolut Comput"},{"issue":"4","key":"6519_CR50","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1023\/A:1008202821328","volume":"11","author":"S Rainer","year":"1997","unstructured":"Rainer S, Kenneth P (1997) Differential evolution\u2013a simple and efficient heuristic for global optimization over continuous spaces. J Global Optim 11(4):341\u2013359","journal-title":"J Global Optim"},{"issue":"1","key":"6519_CR51","first-page":"4","volume":"15","author":"SPN DasSuganthan","year":"2010","unstructured":"DasSuganthan SPN (2010) Differential evolution: a survey of the state-of-the-art. IEEE Trans Evolut Comput 15(1):4\u201331","journal-title":"IEEE Trans Evolut Comput"},{"issue":"2","key":"6519_CR52","doi-asserted-by":"crossref","first-page":"398","DOI":"10.1109\/TEVC.2008.927706","volume":"13","author":"Qin A Kai","year":"2008","unstructured":"Kai Qin A, Ling Huang Vicky, Suganthan Ponnuthurai N (2008) Differential evolution algorithm with strategy adaptation for global numerical optimization. IEEE Trans Evolut Comput 13(2):398\u2013417","journal-title":"IEEE Trans Evolut Comput"},{"key":"6519_CR53","unstructured":"Richerson PJ, Boyd R (2008) Not by genes alone: how culture transformed human evolution. University of Chicago press"},{"issue":"1509","key":"6519_CR54","doi-asserted-by":"crossref","first-page":"3577","DOI":"10.1098\/rstb.2008.0132","volume":"363","author":"KN Laland","year":"2008","unstructured":"Laland KN (2008) Exploring gene\u2013culture interactions: insights from handedness, sexual selection and niche-construction case studies. Phil Trans R Soc B: Biol Sci 363(1509):3577\u20133589","journal-title":"Phil Trans R Soc B: Biol Sci"},{"key":"6519_CR55","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1016\/j.ins.2014.01.002","volume":"267","author":"MZ Ali","year":"2014","unstructured":"Ali MZ, Awad NH (2014) A novel class of niche hybrid cultural algorithms for continuous engineering optimization. Inform Sci 267:158\u2013190","journal-title":"Inform Sci"},{"key":"6519_CR56","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.ins.2016.10.039","volume":"378","author":"NH Awad","year":"2017","unstructured":"Awad NH, Ali MZ, Suganthan PN, Reynolds RG (2017) CADE: a hybridization of cultural algorithm and differential evolution for numerical optimization. Inform Sci 378:215\u2013241","journal-title":"Inform Sci"},{"issue":"2","key":"6519_CR57","doi-asserted-by":"crossref","first-page":"1721","DOI":"10.1590\/1679-78251547","volume":"12","author":"S Jalili","year":"2015","unstructured":"Jalili S, Hosseinzadeh Y (2015) A cultural algorithm for optimal design of truss structures. Latin Am J Solids Struct 12(2):1721\u20131747","journal-title":"Latin Am J Solids Struct"},{"key":"6519_CR58","doi-asserted-by":"crossref","first-page":"14951","DOI":"10.1007\/s11042-016-4313-2","volume":"76","author":"X Yan","year":"2017","unstructured":"Yan X, Song T, Wu Q (2017) An improved cultural algorithm and its application in image matching. Multimed Tools Appl 76:14951\u201314968","journal-title":"Multimed Tools Appl"},{"key":"6519_CR59","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1007\/978-981-13-6569-0_5","volume-title":"Socio-cultural inspired metaheuristics","author":"S Jalili","year":"2019","unstructured":"Jalili S, Hosseinzadeh Y, Rabczuk T (2019) Simultaneous size and shape optimization of dome-shaped structures using improved cultural algorithm. In: Kulkarni AJ, Singh PK, Satapathy SC, Kashan AH, Tai K (eds) Socio-cultural inspired metaheuristics. Springer, Singapore, pp 93\u2013120"},{"key":"6519_CR60","volume-title":"The theory of island biogeography revisited","author":"JB Losos","year":"2010","unstructured":"Losos JB, Ricklefs RE, MacArthur RH (2010) The theory of island biogeography revisited. Princeton University Press, Princeton, NJ"},{"key":"6519_CR61","doi-asserted-by":"crossref","first-page":"1909","DOI":"10.1007\/s00521-016-2179-x","volume":"25","author":"W Guo","year":"2017","unstructured":"Guo W, Ming C, Wang L, Mao Y, Wu Q (2017) A survey of biogeography-based optimization. Neural Comput Appl 25:1909\u20131926","journal-title":"Neural Comput Appl"},{"issue":"5","key":"6519_CR62","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1109\/TETCI.2017.2739124","volume":"1","author":"H Ma","year":"2017","unstructured":"Ma H, Simon D, Siarry P, Yang Z, Fei M (2017) Biogeography-based optimization: a 10-year review. IEEE Trans Emerg Top Comput Intell 1(5):391\u2013407","journal-title":"IEEE Trans Emerg Top Comput Intell"},{"key":"6519_CR63","doi-asserted-by":"crossref","first-page":"1525","DOI":"10.1007\/s00521-015-2167-6","volume":"28","author":"S Carbas","year":"2017","unstructured":"Carbas S (2017) Optimum structural design of spatial steel frames via biogeography-based optimization. Neural Comput Appl 28:1525\u20131539","journal-title":"Neural Comput Appl"},{"issue":"9","key":"6519_CR64","doi-asserted-by":"crossref","first-page":"1491","DOI":"10.1080\/0305215X.2015.1115028","volume":"48","author":"S Jalili","year":"2015","unstructured":"Jalili S, Hosseinzadeh Y, Taghizadieh N (2015) A biogeography-based optimization for optimum discrete design of skeletal structures. Eng Optim 48(9):1491\u20131514","journal-title":"Eng Optim"},{"key":"6519_CR65","doi-asserted-by":"crossref","unstructured":"Kashan AH (2009) League championship algorithm: a new algorithm for numerical function optimization. Soft computing and pattern recognition. SOCPAR\u201909. Int Conf 2009. pp. 43\u201348","DOI":"10.1109\/SoCPaR.2009.21"},{"key":"6519_CR66","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.tcs.2014.05.003","volume":"551","author":"S Chattopadhyay","year":"2014","unstructured":"Chattopadhyay S, Murthy CA, Pal SK (2014) Fitting truncated geometric distributions in large scale real world networks. Theoret Comput Sci 551:22\u201338","journal-title":"Theoret Comput Sci"},{"issue":"2","key":"6519_CR67","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/S0045-7949(00)00125-5","volume":"79","author":"G Soremekun","year":"2001","unstructured":"Soremekun G, G\u00a8urdal Z, Haftka RT, Watson LT (2001) Composite laminate design optimization by genetic algorithm with generalized elitist selection. Comput Struct 79(2):131\u2013143","journal-title":"Comput Struct"},{"key":"6519_CR68","doi-asserted-by":"crossref","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 1:67\u201382","journal-title":"IEEE Trans Evol Comput"},{"key":"6519_CR69","doi-asserted-by":"crossref","first-page":"100665","DOI":"10.1016\/j.swevo.2020.100665","volume":"54","author":"J Carrasco","year":"2020","unstructured":"Carrasco J, Garc\u00b4\u0131a S, Rueda MM, Das S, Herrera F (2020) Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: practical guidelines and a critical review. Swarm Evolut Comput 54:100665","journal-title":"Swarm Evolut Comput"},{"key":"6519_CR70","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1016\/j.ins.2017.07.015","volume":"417","author":"Eftimov Tome","year":"2017","unstructured":"Tome Eftimov, Peter Korosec, Korousic Seljak Barbara (2017) A novel approach to statistical comparison of meta-heuristic stochastic optimization algorithms using deep statistics. Inform Sci 417:186\u2013215","journal-title":"Inform Sci"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-021-06519-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-021-06519-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-021-06519-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T17:17:58Z","timestamp":1725815878000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-021-06519-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,21]]},"references-count":70,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022,2]]}},"alternative-id":["6519"],"URL":"https:\/\/doi.org\/10.1007\/s00521-021-06519-0","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2021,9,21]]},"assertion":[{"value":"17 April 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 September 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 September 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}