{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T21:38:21Z","timestamp":1775338701310,"version":"3.50.1"},"reference-count":52,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2017,8,4]],"date-time":"2017-08-04T00:00:00Z","timestamp":1501804800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2018,4]]},"DOI":"10.1007\/s10489-017-1019-8","type":"journal-article","created":{"date-parts":[[2017,8,4]],"date-time":"2017-08-04T04:51:28Z","timestamp":1501822288000},"page":"805-820","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":663,"title":["Grasshopper optimization algorithm for multi-objective optimization problems"],"prefix":"10.1007","volume":"48","author":[{"given":"Seyedeh Zahra","family":"Mirjalili","sequence":"first","affiliation":[]},{"given":"Seyedali","family":"Mirjalili","sequence":"additional","affiliation":[]},{"given":"Shahrzad","family":"Saremi","sequence":"additional","affiliation":[]},{"given":"Hossam","family":"Faris","sequence":"additional","affiliation":[]},{"given":"Ibrahim","family":"Aljarah","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,8,4]]},"reference":[{"key":"1019_CR1","unstructured":"Holland JH, Reitman JS (1977) Cognitive systems based on adaptive algorithms. ACM SIGART Bulletin, pp 49\u201349"},{"key":"1019_CR2","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1016\/j.knosys.2012.11.005","volume":"39","author":"C-F Tsai","year":"2013","unstructured":"Tsai C-F, Eberle W, Chu C-Y (2013) Genetic algorithms in feature and instance selection. Knowl-Based Syst 39:240\u2013247","journal-title":"Knowl-Based Syst"},{"key":"1019_CR3","doi-asserted-by":"crossref","unstructured":"Lin M-H, Tsai J-F, Yu C-S (2012) A review of deterministic optimization methods in engineering and management. Mathematical Problems in Engineering, vol 2012","DOI":"10.1155\/2012\/756023"},{"key":"1019_CR4","volume-title":"Proceedings of the 45th annual IEEE symposium on foundations of computer science, 2004, pp 228\u2013237","author":"DB Shmoys","year":"2004","unstructured":"Shmoys DB, Swamy C (2004) Stochastic optimization is (almost) as easy as deterministic optimization. In: Proceedings of the 45th annual IEEE symposium on foundations of computer science, 2004, pp 228\u2013237"},{"key":"1019_CR5","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1109\/MCI.2006.329691","volume":"1","author":"M Dorigo","year":"2006","unstructured":"Dorigo M, Birattari M, Stutzle T (2006) Ant colony optimization. IEEE Comput Intell Mag 1:28\u201339","journal-title":"IEEE Comput Intell Mag"},{"key":"1019_CR6","doi-asserted-by":"crossref","unstructured":"Kennedy J (2011) Particle swarm optimization. In: Encyclopedia of machine learning, edn. Springer, pp 760\u2013766","DOI":"10.1007\/978-0-387-30164-8_630"},{"key":"1019_CR7","volume-title":"Proceedings of the 1999 congress on evolutionary computation, 1999. CEC 99","author":"J Knowles","year":"1999","unstructured":"Knowles J, Corne D (1999) The pareto archived evolution strategy: a new baseline algorithm for pareto multiobjective optimisation. In: Proceedings of the 1999 congress on evolutionary computation, 1999. CEC 99"},{"key":"1019_CR8","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1023\/A:1008202821328","volume":"11","author":"R Storn","year":"1997","unstructured":"Storn R, Price K (1997) Differential evolution\u2013a simple and efficient heuristic for global optimization over continuous spaces. J Glob Optim 11:341\u2013359","journal-title":"J Glob Optim"},{"key":"1019_CR9","doi-asserted-by":"crossref","first-page":"1960","DOI":"10.1109\/CEC.2013.6557799","volume-title":"2013 IEEE congress on evolutionary computation (CEC)","author":"N Padhye","year":"2013","unstructured":"Padhye N, Mittal P, Deb K (2013) Differential evolution: performances and analyses. In: 2013 IEEE congress on evolutionary computation (CEC), pp 1960\u20131967"},{"key":"1019_CR10","volume-title":"Asia-Pacific conference on simulated evolution and learning, pp 146\u2013155","author":"N Padhye","year":"2010","unstructured":"Padhye N, Bhardawaj P, Deb K (2010) Improving differential evolution by altering steps in EC. In: Asia-Pacific conference on simulated evolution and learning, pp 146\u2013155"},{"key":"1019_CR11","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1016\/j.ins.2013.02.041","volume":"237","author":"I Boussa\u00efD","year":"2013","unstructured":"Boussa\u00efD I, Lepagnot J, Siarry P (2013) A survey on optimization metaheuristics. Inf Sci 237:82\u2013117","journal-title":"Inf Sci"},{"key":"1019_CR12","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.ins.2013.06.051","volume":"250","author":"M Helbig","year":"2013","unstructured":"Helbig M, Engelbrecht AP (2013) Performance measures for dynamic multi-objective optimisation algorithms. Inf Sci 250:61\u201381","journal-title":"Inf Sci"},{"key":"1019_CR13","doi-asserted-by":"publisher","unstructured":"Padhye N, Zuo L, Mohan CK, Varshney PK (2009) Dynamic and evolutionary multi-objective optimization for sensor selection In sensor networks for target tracking. In: Proceedings of the international joint conference on computational intelligence - volume 1: ICEC, (IJCCI 2009). ScitePress, INSTICC, pp 160\u2013167. doi: 10.5220\/0002324901600167 , ISBN: 978-989-674-014-6","DOI":"10.5220\/0002324901600167"},{"key":"1019_CR14","volume-title":"IJCCI, pp 160\u2013167","author":"N Padhye","year":"2009","unstructured":"Padhye N, Zuo L, Mohan CK, Varshney P (2009) Dynamic and evolutionary multi-objective optimization for sensor selection in sensor networks for target tracking. In: IJCCI, pp 160\u2013167"},{"key":"1019_CR15","doi-asserted-by":"crossref","first-page":"3190","DOI":"10.1016\/j.cma.2007.03.003","volume":"196","author":"H-G Beyer","year":"2007","unstructured":"Beyer H-G, Sendhoff B (2007) Robust optimization\u2013a comprehensive survey. Comput Methods Appl Mech Eng 196:3190\u20133218","journal-title":"Comput Methods Appl Mech Eng"},{"key":"1019_CR16","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1007\/BF03325101","volume":"1","author":"CAC Coello","year":"1999","unstructured":"Coello CAC (1999) A comprehensive survey of evolutionary-based multiobjective optimization techniques. Knowl Inf Syst 1:269\u2013308","journal-title":"Knowl Inf Syst"},{"key":"1019_CR17","unstructured":"Deb K (2001) Multi-objective optimization using evolutionary algorithms, vol 16. Wiley"},{"key":"1019_CR18","first-page":"707","volume":"58","author":"C von L\u00fccken","year":"2014","unstructured":"von L\u00fccken C., Bar\u00e1n B., Brizuela C (2014) A survey on multi-objective evolutionary algorithms for many-objective problems. Comput Optim Appl 58:707\u2013756","journal-title":"Comput Optim Appl"},{"key":"1019_CR19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.swevo.2012.05.001","volume":"6","author":"TT Nguyen","year":"2012","unstructured":"Nguyen TT, Yang S, Branke J (2012) Evolutionary dynamic optimi- zation: a survey of the state of the art. Swarm Evol Comput 6:1\u201324","journal-title":"Swarm Evol Comput"},{"key":"1019_CR20","doi-asserted-by":"crossref","first-page":"851","DOI":"10.1007\/s10589-015-9752-6","volume":"62","author":"N Padhye","year":"2015","unstructured":"Padhye N, Mittal P, Deb K (2015) Feasibility preserving constraint-handling strategies for real parameter evolutionary optimization. Comput Optim Appl 62:851\u2013890","journal-title":"Comput Optim Appl"},{"key":"1019_CR21","unstructured":"Padhye N, Deb K, Mittal P (2013) An efficient and exclusively-feasible constrained handling strategy for evolutionary algorithms. Technical Report"},{"key":"1019_CR22","doi-asserted-by":"crossref","first-page":"1401","DOI":"10.1109\/TSG.2015.2468683","volume":"7","author":"A Asrari","year":"2016","unstructured":"Asrari A, Lotfifard S, Payam MS (2016) Pareto dominance-based multiobjective optimization method for distribution network reconfiguration. IEEE Trans Smart Grid 7:1401\u20131410","journal-title":"IEEE Trans Smart Grid"},{"issue":"3\/\/","key":"1019_CR23","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.swevo.2011.03.001","volume":"1","author":"A Zhou","year":"2011","unstructured":"Zhou A, Qu B-Y, Li H, Zhao S-Z, Suganthan PN, Zhang Q (2011) Multiobjective evolutionary algorithms: a survey of the state of the art. Swarm Evol Comput 1(3\/\/):32\u201349","journal-title":"Swarm Evol Comput"},{"key":"1019_CR24","doi-asserted-by":"crossref","unstructured":"Deb K (2014) Multi-objective optimization. In: Search methodologies, edn. Springer, pp 403\u2013449","DOI":"10.1007\/978-1-4614-6940-7_15"},{"key":"1019_CR25","doi-asserted-by":"crossref","first-page":"1259","DOI":"10.1145\/1830483.1830709","volume-title":"Proceedings of the 12th annual conference on genetic and evolutionary computation","author":"N Padhye","year":"2010","unstructured":"Padhye N, Deb K (2010) Evolutionary multi-objective optimization and decision making for selective laser sintering. In: Proceedings of the 12th annual conference on genetic and evolutionary computation, pp 1259\u20131266"},{"key":"1019_CR26","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6:182\u2013197","journal-title":"IEEE Trans Evol Comput"},{"key":"1019_CR27","first-page":"1051","volume-title":"Proceedings of the 2002 congress on evolutionary computation, 2002. CEC\u201902","author":"CC Coello","year":"2002","unstructured":"Coello CC, Lechuga MS (2002) MOPSO: A proposal for multiple objective particle swarm optimization. In: Proceedings of the 2002 congress on evolutionary computation, 2002. CEC\u201902, pp 1051\u20131056"},{"key":"1019_CR28","doi-asserted-by":"crossref","first-page":"1831","DOI":"10.1145\/1388969.1388983","volume-title":"Proceedings of the 10th annual conference companion on genetic and evolutionary computation","author":"N Padhye","year":"2008","unstructured":"Padhye N (2008) Topology optimization of compliant mechanism using multi-objective particle swarm optimization. In: Proceedings of the 10th annual conference companion on genetic and evolutionary computation, pp 1831\u20131834"},{"key":"1019_CR29","doi-asserted-by":"crossref","first-page":"1755","DOI":"10.1145\/1569901.1570143","volume-title":"Proceedings of the 11th annual conference on Genetic and evolutionary computation","author":"N Padhye","year":"2009","unstructured":"Padhye N (2009) Comparison of archiving methods in multi-objective particle swarm optimization (MOPSO): empirical study. In: Proceedings of the 11th annual conference on Genetic and evolutionary computation, pp 1755\u20131756"},{"key":"1019_CR30","first-page":"450","volume-title":"ICTAI (1)","author":"I Alaya","year":"2007","unstructured":"Alaya I, Solnon C, Ghedira K (2007) Ant colony optimization for multi-objective optimization problems. In: ICTAI (1), pp 450\u2013 457"},{"key":"1019_CR31","first-page":"862","volume-title":"The 2003 congress on evolutionary computation, 2003. CEC\u201903","author":"F Xue","year":"2003","unstructured":"Xue F, Sanderson AC, Graves RJ (2003) Pareto-based multi-objective differential evolution. In: The 2003 congress on evolutionary computation, 2003. CEC\u201903, pp 862\u2013869"},{"key":"1019_CR32","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1162\/106365600568167","volume":"8","author":"JD Knowles","year":"2000","unstructured":"Knowles JD, Corne DW (2000) Approximating the nondominated front using the Pareto archived evolution strategy. Evol Comput 8:149\u2013172","journal-title":"Evol Comput"},{"key":"1019_CR33","doi-asserted-by":"crossref","unstructured":"Wolpert D (1997) No free lunch theorem for optimization. In: IEEE transactions on evolutionary computation, pp 467\u2013482","DOI":"10.1109\/4235.585893"},{"key":"1019_CR34","first-page":"2419","volume-title":"IEEE congress on evolutionary computation","author":"H Ishibuchi","year":"2008","unstructured":"Ishibuchi H, Tsukamoto N, Nojima Y (2008) Evolutionary many-objective optimization: a short review. In: IEEE congress on evolutionary computation, pp 2419\u20132426"},{"key":"1019_CR35","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1007\/s00158-003-0368-6","volume":"26","author":"RT Marler","year":"2004","unstructured":"Marler RT, Arora JS (2004) Survey of multi-objective optimization methods for engineering. Struct Multidiscip Optim 26:369\u2013 395","journal-title":"Struct Multidiscip Optim"},{"key":"1019_CR36","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1007\/978-3-540-74581-5_3","volume":"4683","author":"K Deb","year":"2007","unstructured":"Deb K, Padhye N, Neema G (2007) Multiobjective evolutionary optimization-interplanetary trajectory optimization with swing-bys using evolutionary multi-objective optimization. Lect Notes Comput Sci 4683:26\u201335","journal-title":"Lect Notes Comput Sci"},{"key":"1019_CR37","unstructured":"Jin Y, Olhofer M, Sendhoff B (2001) Dynamic weighted aggregation for evolutionary multi-objective optimization: Why does it work and how?"},{"key":"1019_CR38","first-page":"722","volume-title":"International conference on parallel problem solving from nature","author":"J Branke","year":"2004","unstructured":"Branke J, Deb K, Dierolf H, Osswald M (2004) Finding knees in multi-objective optimization. In: International conference on parallel problem solving from nature, pp 722\u2013731"},{"key":"1019_CR39","doi-asserted-by":"crossref","first-page":"1691","DOI":"10.1016\/j.envsoft.2007.02.001","volume":"22","author":"JB Kollat","year":"2007","unstructured":"Kollat JB, Reed P (2007) A framework for visually interactive decision-making and design using evolutionary multi-objective optimization (VIDEO). Environ Model Softw 22:1691\u2013 1704","journal-title":"Environ Model Softw"},{"key":"1019_CR40","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1140\/epjst\/e2008-00633-y","volume":"157","author":"CM Topaz","year":"2008","unstructured":"Topaz CM, Bernoff AJ, Logan S, Toolson W (2008) A model for rolling swarms of locusts. Eur Phys J Special Topics 157:93\u2013 109","journal-title":"Eur Phys J Special Topics"},{"key":"1019_CR41","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.advengsoft.2017.01.004","volume":"105","author":"S Saremi","year":"2017","unstructured":"Saremi S, Mirjalili S, Lewis A (2017) Grasshopper optimisation algorithm: theory and application. Adv Eng Softw 105:30\u201347","journal-title":"Adv Eng Softw"},{"key":"1019_CR42","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6:182\u2013197","journal-title":"IEEE Trans Evol Comput"},{"key":"1019_CR43","volume-title":"Institut f\u00fcr Technische Informatik und Kommunikationsnetze (TIK)","author":"E Zitzler","year":"2001","unstructured":"Zitzler E, Laumanns M, Thiele L, Zitzler E, Zitzler E, Thiele L et al (2001) SPEA2: Improving the strength Pareto evolutionary algorithm, ed: Eidgen\u00f6ssische Technische Hochschule Z\u00fcrich (ETH). In: Institut f\u00fcr Technische Informatik und Kommunikationsnetze (TIK)"},{"key":"1019_CR44","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1162\/evco.1994.2.3.221","volume":"2","author":"N Srinivas","year":"1994","unstructured":"Srinivas N, Deb K (1994) Muiltiobjective optimization using nondominated sorting in genetic algorithms. Evol Comput 2:221\u2013248","journal-title":"Evol Comput"},{"key":"1019_CR45","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1007\/BFb0056872","volume-title":"Parallel problem solving from nature\u2014PPSN V","author":"E Zitzler","year":"1998","unstructured":"Zitzler E, Thiele L (1998) Multiobjective optimization using evolutionary algorithms\u2014a comparative case study. In: Parallel problem solving from nature\u2014PPSN V, pp 292\u2013301"},{"key":"1019_CR46","doi-asserted-by":"crossref","first-page":"761","DOI":"10.1007\/s10589-013-9605-0","volume":"57","author":"K Deb","year":"2014","unstructured":"Deb K, Padhye N (2014) Enhancing performance of particle swarm optimization through an algorithmic link with genetic algorithms. Comput Optim Appl 57:761\u2013794","journal-title":"Comput Optim Appl"},{"key":"1019_CR47","doi-asserted-by":"crossref","first-page":"771","DOI":"10.1007\/s10898-012-9897-0","volume":"55","author":"N Padhye","year":"2013","unstructured":"Padhye N, Bhardawaj P, Deb K (2013) Improving differential evolution through a unified approach. J Glob Optim 55:771","journal-title":"J Glob Optim"},{"key":"1019_CR48","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1162\/106365600568202","volume":"8","author":"E Zitzler","year":"2000","unstructured":"Zitzler E, Deb K, Thiele L (2000) Comparison of multiobjective evolutionary algorithms: Empirical results. Evol Comput 8:173\u2013195","journal-title":"Evol Comput"},{"key":"1019_CR49","first-page":"825","volume-title":"Proceedings of the 2002 congress on evolutionary computation, 2002. CEC\u201902","author":"K Deb","year":"2002","unstructured":"Deb K, Thiele L, Laumanns M, Zitzler E (2002) Scalable multi-objective optimization test problems. In: Proceedings of the 2002 congress on evolutionary computation, 2002. CEC\u201902, pp 825\u2013830"},{"key":"1019_CR50","unstructured":"Zhang Q, Zhou A, Zhao S, Suganthan PN, Liu W, Tiwari S (2008) Multiobjective optimization test instances for the CEC 2009 special session and competition. University of Essex, Colchester, UK and Nanyang Technological University, Singapore, Special Session on Performance Assessment of Multi-Objective Optimization Algorithms, Technical Report"},{"key":"1019_CR51","doi-asserted-by":"crossref","first-page":"1053","DOI":"10.1007\/s00521-015-1920-1","volume":"27","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili S (2016) Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems. Neural Comput Applic 27:1053\u2013 1073","journal-title":"Neural Comput Applic"},{"key":"1019_CR52","unstructured":"Mirjalili S, Jangir P, Saremi S (2016) Multi-objective ant lion optimizer: a multi-objective optimization algorithm for solving engineering problems. Applied Intelligence, pp 1\u201317"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10489-017-1019-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-017-1019-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-017-1019-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,25]],"date-time":"2024-06-25T23:55:54Z","timestamp":1719359754000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10489-017-1019-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,4]]},"references-count":52,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2018,4]]}},"alternative-id":["1019"],"URL":"https:\/\/doi.org\/10.1007\/s10489-017-1019-8","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,8,4]]}}}