{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T12:48:30Z","timestamp":1763729310639,"version":"3.45.0"},"publisher-location":"Singapore","reference-count":24,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819543663","type":"print"},{"value":"9789819543670","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,11,22]],"date-time":"2025-11-22T00:00:00Z","timestamp":1763769600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,11,22]],"date-time":"2025-11-22T00:00:00Z","timestamp":1763769600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-95-4367-0_39","type":"book-chapter","created":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T12:38:41Z","timestamp":1763728721000},"page":"581-596","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["SERI: Stagnation-Based Extinction and\u00a0Re-initialization Operator for\u00a0Enhanced Evolutionary Optimization"],"prefix":"10.1007","author":[{"given":"Quratulain","family":"Quraishi","sequence":"first","affiliation":[]},{"given":"Mian Muhammad","family":"Awais","sequence":"additional","affiliation":[]},{"given":"El-Sayed M.","family":"El-Alfy","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,11,22]]},"reference":[{"key":"39_CR1","doi-asserted-by":"crossref","unstructured":"Akhtar, J., Awais, M.M., Koshul, B.B.: Evolutionary algorithms based on non-darwinian theories of evolution. In: 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), pp. 2554\u20132560. IEEE (2008)","DOI":"10.1109\/CEC.2008.4631141"},{"key":"39_CR2","doi-asserted-by":"crossref","unstructured":"Akhtar, J., Awais, M.M., Koshul, B.B.: Putting Peirce\u2019s theory to the test: Peircean evolutionary algorithms. Trans. Charles S. Peirce Soc. Quart. J. American Phil. 49(2), 203\u2013237 (2013)","DOI":"10.2979\/trancharpeirsoc.49.2.203"},{"key":"39_CR3","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1016\/j.ins.2013.02.044","volume":"236","author":"J Akhtar","year":"2013","unstructured":"Akhtar, J., Koshul, B.B., Awais, M.M.: A framework for evolutionary algorithms based on Charles sanders Peirce\u2019s evolutionary semiotics. Inf. Sci. 236, 93\u2013108 (2013)","journal-title":"Inf. Sci."},{"key":"39_CR4","unstructured":"Baker, J.E., et\u00a0al.: Reducing bias and inefficiency in the selection algorithm. In: Proceedings of the second International Conference on Genetic Algorithms, vol.\u00a0206, pp. 14\u201321 (1987)"},{"key":"39_CR5","unstructured":"Davis, T.E.: A simulated annealing like convergence theory for the Simole genetic algorithm. In: Proceeding 4th International Conference on Genetic Algorithms (1991)"},{"key":"39_CR6","unstructured":"De\u00a0Jong, K.A.: An analysis of the behavior of a class of genetic adaptive systems. University of Michigan (1975)"},{"key":"39_CR7","doi-asserted-by":"crossref","unstructured":"Fogel, G.B., Greenwood, G.W., Chellapilla, K.: Evolutionary computation with extinction: experiments and analysis. In: Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No. 00TH8512), vol.\u00a02, pp. 1415\u20131420. IEEE (2000)","DOI":"10.1109\/CEC.2000.870818"},{"issue":"8","key":"39_CR8","doi-asserted-by":"publisher","first-page":"10561","DOI":"10.1007\/s11042-022-12158-x","volume":"81","author":"L Goel","year":"2022","unstructured":"Goel, L.: A novel approach for face recognition using biogeography based optimization with extinction and evolution. Multimedia Tools Appl. 81(8), 10561\u201310588 (2022). https:\/\/doi.org\/10.1007\/s11042-022-12158-x","journal-title":"Multimedia Tools Appl."},{"key":"39_CR9","unstructured":"Goldberg, D.E.: Genetic algorithms in search, optimization, and machine learning. addison. Reading (1989)"},{"key":"39_CR10","unstructured":"Gong, D., Hao, G., Shi, Y., Shi, M.: Interactive genetic algorithm with holding down sur-vival of the fittest based on extinction mechanism. Int. J. Inf. Technol. 11(10) (2005)"},{"key":"39_CR11","doi-asserted-by":"crossref","unstructured":"Hesser, J., M\u00e4nner, R.: Towards an optimal mutation probability for genetic algorithms. In: International Conference on Parallel Problem Solving from Nature, pp. 23\u201332. Springer (1990)","DOI":"10.1007\/BFb0029727"},{"issue":"2","key":"39_CR12","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1504\/IJMMNO.2013.055204","volume":"4","author":"M Jamil","year":"2013","unstructured":"Jamil, M., Yang, X.S.: A literature survey of benchmark functions for global optimisation problems. Int. J. Math. Model. Numer. Optimisation 4(2), 150\u2013194 (2013)","journal-title":"Int. J. Math. Model. Numer. Optimisation"},{"issue":"5","key":"39_CR13","doi-asserted-by":"publisher","first-page":"8091","DOI":"10.1007\/s11042-020-10139-6","volume":"80","author":"S Katoch","year":"2021","unstructured":"Katoch, S., Chauhan, S.S., Kumar, V.: A review on genetic algorithm: past, present, and future. Multimedia Tools Appl. 80(5), 8091\u20138126 (2021)","journal-title":"Multimedia Tools Appl."},{"key":"39_CR14","doi-asserted-by":"crossref","unstructured":"Krink, T., Thomsen, R.: Self-organized criticality and mass extinction in evolutionary algorithms. In: Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No. 01TH8546), vol.\u00a02, pp. 1155\u20131161. IEEE (2001)","DOI":"10.1109\/CEC.2001.934321"},{"issue":"8","key":"39_CR15","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0132886","volume":"10","author":"J Lehman","year":"2015","unstructured":"Lehman, J., Miikkulainen, R.: Extinction events can accelerate evolution. PLoS ONE 10(8), e0132886 (2015)","journal-title":"PLoS ONE"},{"key":"39_CR16","doi-asserted-by":"crossref","unstructured":"Mathias, H.D., Ragusa, V.R.: An empirical study of crossover and mass extinction in a genetic algorithm for pathfinding in a continuous environment. In: Proceeding IEEE Congress on Evolutionary Computation (CEC), pp. 4111\u20134118 (2016)","DOI":"10.1109\/CEC.2016.7744312"},{"key":"39_CR17","doi-asserted-by":"crossref","unstructured":"Michalewicz, Z.: Gas: Why do they work? In: Genetic Algorithms+ Data Structures= Evolution Programs, pp. 43\u201353. Springer (1994)","DOI":"10.1007\/978-3-662-07418-3_4"},{"key":"39_CR18","doi-asserted-by":"crossref","unstructured":"Quraishi, Q., Rizwan, H., Awais, M.M.: Comparing Peircean algorithm with various bio-inspired techniques for multi-dimensional function optimization. In: International Conference on Innovative Techniques and Applications of Artificial Intelligence, pp. 309\u2013314. Springer (2022)","DOI":"10.1007\/978-3-031-21441-7_23"},{"issue":"15","key":"39_CR19","doi-asserted-by":"publisher","first-page":"6758","DOI":"10.1073\/pnas.91.15.6758","volume":"91","author":"DM Raup","year":"1994","unstructured":"Raup, D.M.: The role of extinction in evolution. Proc. Natl. Acad. Sci. 91(15), 6758\u20136763 (1994)","journal-title":"Proc. Natl. Acad. Sci."},{"key":"39_CR20","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1016\/j.ins.2013.12.048","volume":"267","author":"D Simon","year":"2014","unstructured":"Simon, D., Omran, M.G., Clerc, M.: Linearized biogeography-based optimization with re-initialization and local search. Inf. Sci. 267, 140\u2013157 (2014)","journal-title":"Inf. Sci."},{"key":"39_CR21","doi-asserted-by":"crossref","unstructured":"Sun, B., Sun, Y., Li, W.: Multiple topology shade with tolerance-based composite framework for cec2022 single objective bound constrained numerical optimization. In: 2022 IEEE Congress on Evolutionary Computation (CEC), pp.\u00a01\u20138. IEEE (2022)","DOI":"10.1109\/CEC55065.2022.9870395"},{"issue":"5","key":"39_CR22","doi-asserted-by":"publisher","first-page":"907","DOI":"10.1007\/s11390-012-1274-4","volume":"27","author":"T Weise","year":"2012","unstructured":"Weise, T., Chiong, R., Tang, K.: Evolutionary optimization: pitfalls and booby traps. J. Comput. Sci. Technol. 27(5), 907\u2013936 (2012)","journal-title":"J. Comput. Sci. Technol."},{"key":"39_CR23","unstructured":"Whitley, D., Mathias, K., Fitzhorn, P.: Delta coding: An iterative search strategy for genetic algorithms. In: ICGA, vol.\u00a091, pp. 77\u201384 (1991)"},{"issue":"8","key":"39_CR24","doi-asserted-by":"publisher","first-page":"3461","DOI":"10.3390\/app11083461","volume":"11","author":"GZ Ye","year":"2021","unstructured":"Ye, G.Z., Kang, D.K.: Extended evolutionary algorithms with stagnation-based extinction protocol. Appl. Sci. 11(8), 3461 (2021)","journal-title":"Appl. Sci."}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-4367-0_39","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T12:38:50Z","timestamp":1763728730000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-4367-0_39"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,22]]},"ISBN":["9789819543663","9789819543670"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-4367-0_39","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,22]]},"assertion":[{"value":"22 November 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Okinawa","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 November 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 November 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"32","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iconip2025.apnns.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}