{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T00:58:11Z","timestamp":1773104291186,"version":"3.50.1"},"reference-count":58,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100004681","name":"Higher Education Commission, Pakistan","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004681","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017011","name":"Mehran University of Engineering and Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100017011","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Advances in Engineering Software"],"published-print":{"date-parts":[[2020,12]]},"DOI":"10.1016\/j.advengsoft.2020.102904","type":"journal-article","created":{"date-parts":[[2020,10,6]],"date-time":"2020-10-06T09:30:01Z","timestamp":1601976601000},"page":"102904","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":16,"special_numbering":"C","title":["A novel grid-oriented dynamic weight parameter based improved variant of Jaya algorithm"],"prefix":"10.1016","volume":"150","author":[{"given":"Zohaib Hussain","family":"Leghari","sequence":"first","affiliation":[]},{"given":"Mohammad Yusri","family":"Hassan","sequence":"additional","affiliation":[]},{"given":"Dalila Mat","family":"Said","sequence":"additional","affiliation":[]},{"given":"Touqeer Ahmed","family":"Jumani","sequence":"additional","affiliation":[]},{"given":"Zeeshan Anjum","family":"Memon","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.advengsoft.2020.102904_bib0001","doi-asserted-by":"crossref","first-page":"1233","DOI":"10.1080\/0305215X.2017.1367392","article-title":"Efficiency of Jaya algorithm for solving the optimization-based structural damage identification problem based on a hybrid objective function","volume":"50","author":"Du","year":"2018","journal-title":"Eng Optim"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0002","doi-asserted-by":"crossref","first-page":"1451","DOI":"10.1007\/s11071-018-4271-5","article-title":"A novel chaotic Jaya algorithm for unconstrained numerical optimization","volume":"93","author":"Farah","year":"2018","journal-title":"Nonlinear Dyn"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0003","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1016\/j.cad.2010.12.015","article-title":"Teaching-learning-based optimization: a novel method for constrained mechanical design optimization problems","volume":"43","author":"Rao","year":"2011","journal-title":"CAD Comput Aided Des"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0004","first-page":"19","article-title":"Jaya: A simple and new optimization algorithm for solving constrained and unconstrained optimization problems","volume":"7","author":"Rao","year":"2016","journal-title":"Int J Ind Eng Comput"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0005","doi-asserted-by":"crossref","first-page":"678","DOI":"10.3390\/en9090678","article-title":"Optimal power flow using the Jaya algorithm","volume":"9","author":"Warid","year":"2016","journal-title":"Energies"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0006","doi-asserted-by":"crossref","unstructured":"Bedekar P.P., Korde P.N.Optimum coordination of overcurrent relays using the modified Jaya algorithm. Proceedings of the IEEE Uttar Pradesh section conference on electrical, computer and electronics engineering UPCON2016:479\u201384.","DOI":"10.1109\/UPCON.2016.7894701"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0007","doi-asserted-by":"crossref","first-page":"909","DOI":"10.22214\/ijraset.2017.8128","article-title":"Comparative analysis of Jaya optimization algorithm for economic dispatch solution","volume":"5","author":"Banerjee","year":"2017","journal-title":"Int J Res Appl Sci Eng Technol"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0008","doi-asserted-by":"crossref","unstructured":"Chowdhury A., Roy R., Mandal K.K. Comparative study of single and multiple point renewable energy based DG allocation considering improvement of voltage stability, economic and environmental factors using Jaya algorithm. Proceedings of the international conference on computer, electrical & communication engineering2017:1\u20137.","DOI":"10.1109\/ICCECE.2017.8526187"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0009","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1016\/j.applthermaleng.2017.01.071","article-title":"Economic optimization of shell-and-tube heat exchanger using Jaya algorithm with maintenance consideration","volume":"116","author":"Rao","year":"2017","journal-title":"Appl Therm Eng"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0010","doi-asserted-by":"crossref","first-page":"2429","DOI":"10.1016\/j.aej.2020.03.005","article-title":"Jaya optimization algorithm for transient response and stability enhancement of a fractional-order PID based automatic voltage regulator system","volume":"59","author":"Jumani","year":"2020","journal-title":"Alex Eng J"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0011","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1007\/s00366-016-0484-8","article-title":"Application of Jaya algorithm for the optimization of machining performance characteristics during the turning of CFRP (epoxy) composites: comparison with TLBO, GA, and ICA","volume":"33","author":"Abhishek","year":"2017","journal-title":"Eng Comput"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0012","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.enconman.2017.02.068","article-title":"Design optimization and analysis of selected thermal devices using self-adaptive Jaya algorithm","volume":"140","author":"Rao R","year":"2017","journal-title":"Energy Convers Manag"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0013","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.swevo.2017.04.008","article-title":"A self-adaptive multi-population based Jaya algorithm for engineering optimization","volume":"37","author":"Rao","year":"2017","journal-title":"Swarm Evol Comput"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0014","doi-asserted-by":"crossref","unstructured":"Warid W., Hizam H., Mariun N., Abdul N.I. A novel quasi-oppositional Jaya algorithm for optimal power flow solution. Proceedings of the international conference on computational science and engineering2018:1\u20135.","DOI":"10.1109\/ICCSE1.2018.8373995"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0015","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1016\/j.ijleo.2017.10.081","article-title":"A novel elite opposition-based Jaya algorithm for parameter estimation of photovoltaic cell models","volume":"155","author":"Wang","year":"2018","journal-title":"Optik (Stuttg)"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0016","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.engappai.2017.03.001","article-title":"A multi-objective algorithm for optimization of modern machining processes","volume":"61","author":"Rao","year":"2017","journal-title":"Eng Appl Artif Intell"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0017","doi-asserted-by":"crossref","first-page":"598","DOI":"10.1016\/j.energy.2019.04.159","article-title":"Modified Jaya algorithm for optimal power flow incorporating renewable energy sources considering the cost, emission, power loss and voltage profile improvement","volume":"178","author":"Elattar","year":"2019","journal-title":"Energy"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0018","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1016\/j.ref.2019.04.001","article-title":"An improved Elitist\u2013Jaya algorithm for simultaneous network reconfiguration and DG allocation in power distribution systems","volume":"30","author":"Raut","year":"2019","journal-title":"Renew Energy Focus"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0019","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1016\/j.engappai.2018.10.003","article-title":"Online load frequency control in wind integrated power systems using modified Jaya optimization","volume":"77","author":"Pradhan","year":"2019","journal-title":"Eng Appl Artif Intell"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0020","series-title":"Proceedings of the 1999 congress on evolutionary computation","first-page":"1945","article-title":"Empirical study of particle swarm optimization","author":"Shi","year":"1999"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0021","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/a11020023","article-title":"Effects of random values for particle swarm optimization algorithm","volume":"11","author":"Dai","year":"2018","journal-title":"Algorithms"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0022","first-page":"710","article-title":"An improved teaching-learning-based optimization algorithm for solving unconstrained optimization problems","volume":"20","author":"Rao","year":"2013","journal-title":"Sci Iran"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0023","doi-asserted-by":"crossref","DOI":"10.1155\/2011\/646917","article-title":"Tuning genetic algorithm parameters to improve convergence time","volume":"2011","author":"Angelova","year":"2011","journal-title":"Int J Chem Eng"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0024","doi-asserted-by":"crossref","unstructured":"Gholizadeh S., Razavi N., Shojaei E. Improved black hole and multiverse algorithms for discrete sizing optimization of planar structures. Eng Optim2018:1\u201323.","DOI":"10.1080\/0305215X.2018.1540697"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0025","first-page":"1967","article-title":"An improved grasshopper optimization algorithm for task scheduling problems","volume":"15","author":"Zhao","year":"2019","journal-title":"Int J Innov Comput Inf Control"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0026","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1080\/0952813X.2019.1572659","article-title":"Improved salp swarm algorithm based on weight factor and adaptive mutation","volume":"31","author":"Wu","year":"2019","journal-title":"J Exp Theor Artif Intell"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0027","doi-asserted-by":"crossref","DOI":"10.3390\/a12040071","article-title":"Parameter combination framework for the differential evolution algorithm","volume":"12","author":"Zhang","year":"2019","journal-title":"Algorithms"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0028","doi-asserted-by":"crossref","unstructured":"Syafruddin W.A., Koppen M., Benaissa B. Does the Jaya algorithm really need no parameters?Proceedings of the 10th international joint conference on computational intelligence2018:3\u20137.","DOI":"10.5220\/0006960702640268"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0029","unstructured":"Shi Y., Eberhart R. A modified particle swarm optimizer algorithm. Proceedings of the 8th international conference on electronic measurement & instruments, ICEMI2007:2675\u20139."},{"key":"10.1016\/j.advengsoft.2020.102904_bib0030","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1023\/A:1008202821328","article-title":"Differential evolution - A simple and efficient heuristic for global optimization over continuous spaces","volume":"11","author":"Storn","year":"1997","journal-title":"J Glob Optim"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0031","doi-asserted-by":"crossref","first-page":"495","DOI":"10.1007\/s00521-015-1870-7","article-title":"Multi-verse optimizer: a nature-inspired algorithm for global optimization","volume":"27","author":"Mirjalili","year":"2016","journal-title":"Neural Comput Appl"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0032","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.advengsoft.2017.07.002","article-title":"Salp swarm algorithm: a bio-inspired optimizer for engineering design problems","volume":"114","author":"Mirjalili","year":"2017","journal-title":"Adv Eng Softw"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0033","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.ins.2014.06.009","article-title":"Analyzing convergence performance of evolutionary algorithms: a statistical approach","volume":"289","author":"Derrac","year":"2014","journal-title":"Inf Sci (Ny)"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0034","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.swevo.2011.02.002","article-title":"A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms","volume":"1","author":"Derrac","year":"2011","journal-title":"Swarm Evol Comput"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0035","first-page":"151","article-title":"Standard error: meaning and interpretation","volume":"17","author":"McHugh","year":"2007","journal-title":"Biochem Medica"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0036","series-title":"Advances in metaheuristic algorithms for optimal design of structures","article-title":"Colliding bodies optimization","author":"Kaveh","year":"2014"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0037","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1016\/j.compstruc.2012.12.010","article-title":"Ray optimization for size and shape optimization of truss structures","volume":"117","author":"Kaveh","year":"2013","journal-title":"Comput Struct"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0038","first-page":"119","article-title":"Truss optimization with dynamic constraints using UECBO","volume":"1","author":"Kaveh","year":"2016","journal-title":"Adv Comput Des"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0039","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1016\/j.asoc.2014.11.056","article-title":"An improved magnetic charged system search for optimization of truss structures with continuous and discrete variables","volume":"28","author":"Kaveh","year":"2015","journal-title":"Appl Soft Comput J"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0040","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.advengsoft.2015.01.010","article-title":"The ant lion optimizer","volume":"83","author":"Mirjalili","year":"2015","journal-title":"Adv Eng Softw"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0041","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.advengsoft.2017.01.004","article-title":"Grasshopper optimisation algorithm\u00a0: theory and application","volume":"105","author":"Saremi","year":"2017","journal-title":"Adv Eng Softw"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0042","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1007\/s00366-011-0241-y","article-title":"Cuckoo search algorithm\u00a0: a metaheuristic approach to solve structural optimization problems","volume":"29","author":"Gandomi","year":"2013","journal-title":"Eng Comput"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0043","doi-asserted-by":"crossref","first-page":"2592","DOI":"10.1016\/j.asoc.2012.11.026","article-title":"Mine blast algorithm: a new population based algorithm for solving constrained engineering optimization problems","volume":"13","author":"Sadollah","year":"2013","journal-title":"Appl Soft Comput J"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0044","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1007\/s40565-015-0169-0","article-title":"Optimal distributed generation allocation in radial distribution systems considering customer-wise dedicated feeders and load patterns","volume":"3","author":"Kanwar","year":"2015","journal-title":"J Mod Power Syst Clean Energy"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0045","doi-asserted-by":"crossref","first-page":"73","DOI":"10.5923\/j.ijee.20120203.03","article-title":"Optimal placement and sizing of DG in radial distribution networks using SFLA","volume":"2","author":"Afzalan","year":"2012","journal-title":"Int J Energy Eng"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0046","doi-asserted-by":"crossref","unstructured":"Alam A., Zaheer B., Zaid M. Optimal placement of DG in distribution system for power loss minimization and voltage profile improvement. Proceedings of the 2018 international conference on computing, power and communication technologies2018:837\u201342.","DOI":"10.1109\/GUCON.2018.8674930"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0047","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1109\/TSG.2012.2237420","article-title":"An improved multi-objective harmony search for optimal placement of DGs in distribution systems","volume":"4","author":"Nekooei","year":"2013","journal-title":"IEEE Trans Smart Grid"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0048","unstructured":"Rashtchi V., Darabian M., Molaei S. A robust technique for optimal placement of distribution generation. Proceedings of the international conference on advances in computer and electrical engineering2012:31\u20135."},{"key":"10.1016\/j.advengsoft.2020.102904_bib0049","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/j.ijepes.2013.06.026","article-title":"Optimum network reconfiguration based on maximization of system loadability using continuation power flow theorem","volume":"54","author":"Aman","year":"2014","journal-title":"Int J Electr Power Energy Syst"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0050","doi-asserted-by":"crossref","first-page":"669","DOI":"10.1016\/j.ijepes.2006.02.013","article-title":"An analytical approach for DG allocation in primary distribution network","volume":"28","author":"Acharya","year":"2006","journal-title":"Int J Electr Power Energy Syst"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0051","doi-asserted-by":"crossref","first-page":"1700","DOI":"10.1109\/TIE.2011.2112316","article-title":"Multiple distributed generator placement in primary distribution networks for loss reduction","volume":"60","author":"Hung","year":"2013","journal-title":"IEEE Trans Ind Electron"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0052","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1016\/j.ijepes.2013.05.018","article-title":"Comparison of optimal DG allocation methods in radial distribution systems based on sensitivity approaches","volume":"53","author":"Murthy","year":"2013","journal-title":"Int J Electr Power Energy Syst"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0053","doi-asserted-by":"crossref","first-page":"752","DOI":"10.1016\/j.ijepes.2013.05.040","article-title":"Optimal placement of different type of DG sources in distribution networks","volume":"53","author":"Kansal","year":"2013","journal-title":"Int J Electr Power Energy Syst"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0054","doi-asserted-by":"crossref","first-page":"1197","DOI":"10.1016\/j.ijepes.2014.09.020","article-title":"Optimal allocation of multi-type distributed generators using backtracking search optimization algorithm","volume":"64","author":"El-Fergany","year":"2015","journal-title":"Int J Electr Power Energy Syst"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0055","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40807-017-0040-1","article-title":"Whale optimization algorithm for optimal sizing of renewable resources for loss reduction in distribution systems","volume":"4","author":"Reddy","year":"2017","journal-title":"Renew Wind Water, Sol"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0056","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40807-019-0056-9","article-title":"Cost-benefit analysis for optimal DG placement in distribution systems by using elephant herding optimization algorithm","volume":"6","author":"Prasad","year":"2019","journal-title":"Renew Wind Water, Sol"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0057","doi-asserted-by":"crossref","unstructured":"Hussain I., Roy A.K.Optimal size and location of distributed generations using differential evolution (DE). Proceedings of the 2nd national conference on computational intelligence and signal processing2012:57\u201361.","DOI":"10.1109\/NCCISP.2012.6189708"},{"key":"10.1016\/j.advengsoft.2020.102904_bib0058","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/j.ijepes.2015.11.019","article-title":"Optimal placement and sizing of distributed generators and shunt capacitors for power loss minimization in radial distribution networks using hybrid heuristic search optimization technique","volume":"78","author":"Muthukumar","year":"2016","journal-title":"Int J Electr Power Energy Syst"}],"container-title":["Advances in Engineering Software"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0965997820309509?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0965997820309509?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,8,27]],"date-time":"2024-08-27T01:50:26Z","timestamp":1724723426000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0965997820309509"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12]]},"references-count":58,"alternative-id":["S0965997820309509"],"URL":"https:\/\/doi.org\/10.1016\/j.advengsoft.2020.102904","relation":{},"ISSN":["0965-9978"],"issn-type":[{"value":"0965-9978","type":"print"}],"subject":[],"published":{"date-parts":[[2020,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A novel grid-oriented dynamic weight parameter based improved variant of Jaya algorithm","name":"articletitle","label":"Article Title"},{"value":"Advances in Engineering Software","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.advengsoft.2020.102904","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2020 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"102904"}}