{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T15:32:37Z","timestamp":1770996757402,"version":"3.50.1"},"reference-count":45,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2025,4,7]],"date-time":"2025-04-07T00:00:00Z","timestamp":1743984000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,4,7]],"date-time":"2025-04-07T00:00:00Z","timestamp":1743984000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"the Natural Science Foundation of Henan","award":["222300420583"],"award-info":[{"award-number":["222300420583"]}]},{"name":"the Key Research Projects of Henan Higher Education Institutions","award":["22A590003"],"award-info":[{"award-number":["22A590003"]}]},{"name":"the Key Science and Technology Program of Henan Province","award":["232102220067"],"award-info":[{"award-number":["232102220067"]}]},{"name":"the Maker Space Incubation Project","award":["2023ZCKJ102"],"award-info":[{"award-number":["2023ZCKJ102"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Evolving Systems"],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1007\/s12530-025-09680-2","type":"journal-article","created":{"date-parts":[[2025,4,8]],"date-time":"2025-04-08T08:17:38Z","timestamp":1744100258000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A hybrid multi-strategy SCSO algorithm for robot path planning"],"prefix":"10.1007","volume":"16","author":[{"given":"Tai-shan","family":"Lou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhe-peng","family":"Yue","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhi-wu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ren-long","family":"Qi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,4,7]]},"reference":[{"key":"9680_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cma.2022.114570","volume":"391","author":"JO Agushaka","year":"2022","unstructured":"Agushaka JO, Ezugwu AE, Abualigah L (2022) Dwarf mongoose optimization algorithm. Comput Methods Appl Mech Eng 391:114570","journal-title":"Comput Methods Appl Mech Eng"},{"issue":"5","key":"9680_CR2","doi-asserted-by":"publisher","first-page":"4099","DOI":"10.1007\/s00521-022-07854-6","volume":"35","author":"JO Agushaka","year":"2023","unstructured":"Agushaka JO, Ezugwu AE, Abualigah L (2023) Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer. Neural Comput Appl 35(5):4099\u20134131","journal-title":"Neural Comput Appl"},{"key":"9680_CR3","doi-asserted-by":"crossref","unstructured":"Agushaka JO, Ezugwu AE, Saha AK, Pal J, Abualigah L, Mirjalili S (2024) Greater cane rat algorithm (gcra): a nature-inspired metaheuristic for optimization problems. Heliyon","DOI":"10.1016\/j.heliyon.2024.e31629"},{"key":"9680_CR4","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1016\/j.swevo.2018.03.008","volume":"43","author":"RD Al-Dabbagh","year":"2018","unstructured":"Al-Dabbagh RD, Neri F, Idris N, Baba MS (2018) Algorithmic design issues in adaptive differential evolution schemes: review and taxonomy. Swarm Evol Comput 43:284\u2013311","journal-title":"Swarm Evol Comput"},{"key":"9680_CR5","first-page":"230","volume":"261","author":"MS Chakkath","year":"2012","unstructured":"Chakkath MS, Hariharansiddharath S, Hemalatha B (2012) Mobile robot in coal mine disaster surveillance. Transportation 261:230","journal-title":"Transportation"},{"key":"9680_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.108192","volume":"116","author":"Z Chen","year":"2022","unstructured":"Chen Z, Wu H, Chen Y, Cheng L, Zhang B (2022) Patrol robot path planning in nuclear power plant using an interval multi-objective particle swarm optimization algorithm. Appl Soft Comput 116:108192","journal-title":"Appl Soft Comput"},{"key":"9680_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.116924","volume":"198","author":"N Chopra","year":"2022","unstructured":"Chopra N, Ansari MM (2022) Golden jackal optimization: a novel nature-inspired optimizer for engineering applications. Expert Syst Appl 198:116924","journal-title":"Expert Syst Appl"},{"key":"9680_CR8","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1016\/j.engappai.2019.03.021","volume":"82","author":"G Dhiman","year":"2019","unstructured":"Dhiman G, Kaur A (2019) Stoa: a bio-inspired based optimization algorithm for industrial engineering problems. Eng Appl Artif Intell 82:148\u2013174. https:\/\/doi.org\/10.1016\/j.engappai.2019.03.021","journal-title":"Eng Appl Artif Intell"},{"key":"9680_CR9","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/j.knosys.2018.11.024","volume":"165","author":"G Dhiman","year":"2019","unstructured":"Dhiman G, Kumar V (2019) Seagull optimization algorithm: theory and its applications for large-scale industrial engineering problems. Knowl Based Syst 165:169\u2013196. https:\/\/doi.org\/10.1016\/j.knosys.2018.11.024","journal-title":"Knowl Based Syst"},{"key":"9680_CR10","doi-asserted-by":"publisher","first-page":"8457","DOI":"10.1007\/s12652-020-02580-0","volume":"12","author":"G Dhiman","year":"2021","unstructured":"Dhiman G, Garg M, Nagar A, Kumar V, Dehghani M (2021) A novel algorithm for global optimization: rat swarm optimizer. J Ambient Intell Humaniz Comput 12:8457\u20138482","journal-title":"J Ambient Intell Humaniz Comput"},{"issue":"19","key":"9680_CR11","doi-asserted-by":"publisher","first-page":"27397","DOI":"10.1007\/s11042-022-12882-4","volume":"81","author":"N Du","year":"2022","unstructured":"Du N, Zhou Y, Deng W, Luo Q (2022) Improved chimp optimization algorithm for three-dimensional path planning problem. Multim Tools Appl 81(19):27397\u201327422. https:\/\/doi.org\/10.1007\/s11042-022-12882-4","journal-title":"Multim Tools Appl"},{"issue":"22","key":"9680_CR12","doi-asserted-by":"publisher","first-page":"20017","DOI":"10.1007\/s00521-022-07530-9","volume":"34","author":"AE Ezugwu","year":"2022","unstructured":"Ezugwu AE, Agushaka JO, Abualigah L, Mirjalili S, Gandomi AH (2022) Prairie dog optimization algorithm. Neural Comput Appl 34(22):20017\u201320065","journal-title":"Neural Comput Appl"},{"key":"9680_CR13","unstructured":"Fusic SJ, Ramkumar P, Hariharan K (2018) Path planning of robot using modified Dijkstra Algorithm. IEEE"},{"issue":"1","key":"9680_CR14","doi-asserted-by":"publisher","first-page":"374","DOI":"10.1007\/s42235-023-00437-8","volume":"21","author":"M Ghasemi","year":"2024","unstructured":"Ghasemi M, Zare M, Zahedi A, Akbari M-A, Mirjalili S, Abualigah L (2024a) Geyser inspired algorithm: a new geological-inspired meta-heuristic for real-parameter and constrained engineering optimization. J Bionic Eng 21(1):374\u2013408","journal-title":"J Bionic Eng"},{"key":"9680_CR15","doi-asserted-by":"crossref","unstructured":"Ghasemi M, Zare M, Zahedi A, Trojovsk\u00a0YP, Abualigah L, Trojovsk\u00a0AE (2024b) Optimization based on performance of lungs in body: lungs performance-based optimization (lpo). Comput Methods Appl Mech Eng 419:116582","DOI":"10.1016\/j.cma.2023.116582"},{"key":"9680_CR16","unstructured":"Han KM (2007) Collision free path planning algorithms for robot navigation problem. phdhan2007collision, University of Missouri\u2013Columbia"},{"key":"9680_CR17","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.asoc.2017.06.044","volume":"60","author":"AA Heidari","year":"2017","unstructured":"Heidari AA, Pahlavani P (2017) An efficient modified grey wolf optimizer with l\u00e9vy flight for optimization tasks. Appl Soft Comput 60:115\u2013134","journal-title":"Appl Soft Comput"},{"issue":"01","key":"9680_CR18","first-page":"72","volume":"21","author":"J Heming","year":"2023","unstructured":"Heming J, Yongchao L, Jinhua Y, Zhengbang L, Honghua R, Changsheng W (2023) Robot path planning based on improved sand cat swarm optimization algorithm. J Fujian Univ Technol 21(01):72\u201377","journal-title":"J Fujian Univ Technol"},{"issue":"1","key":"9680_CR19","doi-asserted-by":"publisher","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":"9680_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2023.102210","volume":"58","author":"G Hu","year":"2023","unstructured":"Hu G, Guo Y, Wei G, Abualigah L (2023) Genghis khan shark optimizer: a novel nature-inspired algorithm for engineering optimization. Adv Eng Inform 58:102210","journal-title":"Adv Eng Inform"},{"key":"9680_CR21","unstructured":"Kennedy J, Eberhart R (1995) Particle swarm optimization. IEEE"},{"key":"9680_CR22","unstructured":"Kumar A, Price KV, Mohamed AW, Hadi AA, Suganthan PN (2021) Problem definitions and evaluation criteria for the cec 2022 special session and competition on single objective bound constrained numerical optimization. Technical report, Nanyang Technological University"},{"key":"9680_CR23","doi-asserted-by":"crossref","unstructured":"LaValle SM, Kuffner JJ (2001) Rapidly-exploring random trees: Progress and prospects: Steven M. Lavalle, Jowa State University, A James J. Kuffner, Jr., University of Tokyo, Tokyo, Japan. Algorithmic and computational robotics, pp 303\u2013307","DOI":"10.1201\/9781439864135-43"},{"key":"9680_CR24","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11427-017-9265-8","volume":"61","author":"G Li","year":"2018","unstructured":"Li G, Chou W (2018) Path planning for mobile robot using self-adaptive learning particle swarm optimization. Sci China Inf Sci 61:1\u201318","journal-title":"Sci China Inf Sci"},{"key":"9680_CR25","doi-asserted-by":"publisher","first-page":"89989","DOI":"10.1109\/ACCESS.2022.3201147","volume":"10","author":"Y Li","year":"2022","unstructured":"Li Y, Wang G (2022) Sand cat swarm optimization based on stochastic variation with elite collaboration. IEEE Access 10:89989\u201390003","journal-title":"IEEE Access"},{"key":"9680_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.120254","volume":"227","author":"L Liu","year":"2023","unstructured":"Liu L, Wang X, Yang X, Liu H, Li J, Wang P (2023) Path planning techniques for mobile robots: Review and prospect. Expert Syst Appl 227:120254. https:\/\/doi.org\/10.1016\/j.eswa.2023.120254","journal-title":"Expert Syst Appl"},{"key":"9680_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121975","volume":"238","author":"T-s Lou","year":"2024","unstructured":"Lou T-s, Yue Z-p, Jiao Y-z, He Z-d (2024) A hybrid strategy-based gjo algorithm for robot path planning. Expert Syst Appl 238:121975. https:\/\/doi.org\/10.1016\/j.eswa.2023.121975","journal-title":"Expert Syst Appl"},{"key":"9680_CR28","doi-asserted-by":"publisher","DOI":"10.3390\/electronics12030672","author":"W Lu","year":"2023","unstructured":"Lu W, Shi C, Fu H, Xu Y (2023) A power transformer fault diagnosis method based on improved sand cat swarm optimization algorithm and bidirectional gated recurrent unit. Electronics. https:\/\/doi.org\/10.3390\/electronics12030672","journal-title":"Electronics"},{"key":"9680_CR29","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.advengsoft.2013.12.007","volume":"69","author":"S Mirjalili","year":"2014","unstructured":"Mirjalili S, Mirjalili SM, Lewis A (2014) Grey wolf optimizer. Adv Eng Softw 69:46\u201361","journal-title":"Adv Eng Softw"},{"issue":"1","key":"9680_CR30","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1007\/s44196-024-00415-w","volume":"17","author":"SB Pandya","year":"2024","unstructured":"Pandya SB, Kalita KVC, Ep R, Jangir P, Chohan JS, Abualigah L (2024) Multi-objective snow ablation optimization algorithm: an elementary vision for security-constrained optimal power flow problem incorporating wind energy source with facts devices. Int J Comput Intell Syst 17(1):33","journal-title":"Int J Comput Intell Syst"},{"key":"9680_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.61185\/SMIJ.2023.44105","volume":"4","author":"S Saber","year":"2023","unstructured":"Saber S, Salem S (2023) An improved light spectrum optimizer for parameter identification of triple-diode pv model. Sustain Mach Intell J 4:1\u20135","journal-title":"Sustain Mach Intell J"},{"key":"9680_CR32","doi-asserted-by":"publisher","unstructured":"Seyyedabbasi A (2022) Solve the inverse kinematics of robot arms using sand cat swarm optimization (scso) algorithm. In: 2022 international conference on theoretical and applied computer science and engineering (ICTASCE), pp 127\u2013131. https:\/\/doi.org\/10.1109\/ICTACSE50438.2022.10009772","DOI":"10.1109\/ICTACSE50438.2022.10009772"},{"key":"9680_CR33","doi-asserted-by":"crossref","unstructured":"Seyyedabbasi A, Kiani F (2022) Sand cat swarm optimization: a nature-inspired algorithm to solve global optimization problems. Eng Comput 1\u201325","DOI":"10.1007\/s00366-022-01604-x"},{"key":"9680_CR34","doi-asserted-by":"publisher","first-page":"59196","DOI":"10.1109\/ACCESS.2021.3070054","volume":"9","author":"G Tang","year":"2021","unstructured":"Tang G, Tang C, Claramunt C, Hu X, Zhou P (2021) Geometric a-star algorithm: an improved a-star algorithm for agv path planning in a port environment. IEEE Access 9:59196\u201359210","journal-title":"IEEE Access"},{"key":"9680_CR35","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2023.e13885","author":"V Tavakol Aghaei","year":"2023","unstructured":"Tavakol Aghaei V, SeyyedAbbasi A, Rasheed J, Abu-Mahfouz AM (2023) Sand cat swarm optimization-based feedback controller design for nonlinear systems. Heliyon. https:\/\/doi.org\/10.1016\/j.heliyon.2023.e13885","journal-title":"Heliyon"},{"issue":"1","key":"9680_CR36","first-page":"2064131","volume":"2019","author":"H Wang","year":"2019","unstructured":"Wang H, Shi J, Wang J, Wang H, Feng Y, You Y (2019) Design and modeling of a novel transformable land\/air robot. Int J Aerosp Eng 2019(1):2064131","journal-title":"Int J Aerosp Eng"},{"issue":"1","key":"9680_CR37","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"},{"issue":"2","key":"9680_CR38","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1109\/4235.771163","volume":"3","author":"X Yao","year":"1999","unstructured":"Yao X, Liu Y, Lin G (1999) Evolutionary programming made faster. IEEE Trans Evol Comput 3(2):82\u2013102. https:\/\/doi.org\/10.1109\/4235.771163","journal-title":"IEEE Trans Evol Comput"},{"issue":"6","key":"9680_CR39","doi-asserted-by":"publisher","first-page":"492","DOI":"10.3390\/biomimetics8060492","volume":"8","author":"L Yao","year":"2023","unstructured":"Yao L, Yang J, Yuan P, Li G, Lu Y, Zhang T (2023) Multi-strategy improved sand cat swarm optimization: global optimization and feature selection. Biomimetics 8(6):492. https:\/\/doi.org\/10.3390\/biomimetics8060492","journal-title":"Biomimetics"},{"key":"9680_CR40","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.119327","volume":"215","author":"X Yu","year":"2023","unstructured":"Yu X, Jiang N, Wang X, Li M (2023) A hybrid algorithm based on grey wolf optimizer and differential evolution for uav path planning. Expert Syst Appl 215:119327","journal-title":"Expert Syst Appl"},{"key":"9680_CR41","doi-asserted-by":"publisher","first-page":"31243","DOI":"10.1109\/ACCESS.2019.2902306","volume":"7","author":"Q Zhang","year":"2019","unstructured":"Zhang Q, Chen H, Heidari AA, Zhao X, Xu Y, Wang P, Li Y, Li C (2019) Chaos-induced and mutation-driven schemes boosting salp chains-inspired optimizers. IEEE Access 7:31243\u201331261","journal-title":"IEEE Access"},{"key":"9680_CR42","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2022.107274","volume":"200","author":"X Zhang","year":"2022","unstructured":"Zhang X, Guo Y, Yang J, Li D, Wang Y, Zhao R (2022a) Many-objective evolutionary algorithm based agricultural mobile robot route planning. Comput Electron Agric 200:107274","journal-title":"Comput Electron Agric"},{"key":"9680_CR43","doi-asserted-by":"crossref","unstructured":"Zhang H, Yang J, Sui Z (2022b) Research on transformer oil level monitoring system based on inspection robot. IOP Publishing","DOI":"10.1088\/1742-6596\/2378\/1\/012085"},{"issue":"4","key":"9680_CR44","doi-asserted-by":"publisher","first-page":"929","DOI":"10.1080\/09540091.2021.1917517","volume":"33","author":"F Zhao","year":"2021","unstructured":"Zhao F, Du S, Lu H, Ma W, Song H (2021) A hybrid self-adaptive invasive weed algorithm with differential evolution. Connect Sci 33(4):929\u2013953","journal-title":"Connect Sci"},{"issue":"Suppl 5","key":"9680_CR45","doi-asserted-by":"publisher","first-page":"4583","DOI":"10.1007\/s00366-021-01448-x","volume":"38","author":"S Zhao","year":"2022","unstructured":"Zhao S, Wang P, Heidari AA, Zhao X, Ma C, Chen H (2022) An enhanced Cauchy mutation grasshopper optimization with trigonometric substitution: engineering design and feature selection. Eng Comput 38(Suppl 5):4583\u20134616","journal-title":"Eng Comput"}],"container-title":["Evolving Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12530-025-09680-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12530-025-09680-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12530-025-09680-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T11:16:36Z","timestamp":1757157396000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12530-025-09680-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,7]]},"references-count":45,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2025,6]]}},"alternative-id":["9680"],"URL":"https:\/\/doi.org\/10.1007\/s12530-025-09680-2","relation":{},"ISSN":["1868-6478","1868-6486"],"issn-type":[{"value":"1868-6478","type":"print"},{"value":"1868-6486","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4,7]]},"assertion":[{"value":"5 May 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 March 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 April 2025","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 of this publication declare there is no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article does not contain any studies with animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"All authors have seen the manuscript and approved to submit to your journal.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}],"article-number":"54"}}