{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T07:24:04Z","timestamp":1760081044193,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":23,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819635054"},{"type":"electronic","value":"9789819635061"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-981-96-3506-1_20","type":"book-chapter","created":{"date-parts":[[2025,2,28]],"date-time":"2025-02-28T12:49:23Z","timestamp":1740746963000},"page":"288-302","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Multi-objective Competitive Co-evolutionary Framework with\u00a0Progressive Shrinking for\u00a0Wargame Scenarios"],"prefix":"10.1007","author":[{"given":"Ritam","family":"Guha","sequence":"first","affiliation":[]},{"given":"Ryan","family":"McKendrick","sequence":"additional","affiliation":[]},{"given":"Bradley","family":"Feest","sequence":"additional","affiliation":[]},{"given":"Kalyanmoy","family":"Deb","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,2,28]]},"reference":[{"key":"20_CR1","doi-asserted-by":"publisher","first-page":"21727","DOI":"10.1109\/ACCESS.2022.3152768","volume":"10","author":"GM De Lima Filho","year":"2022","unstructured":"De Lima Filho, G.M., et al.: Optimization of unmanned air vehicle tactical formation in war games. IEEE Access 10, 21727\u201321741 (2022)","journal-title":"IEEE Access"},{"key":"20_CR2","doi-asserted-by":"crossref","unstructured":"Jia, Z.-X., Kiang, J.-F.: War game between two matched fleets with goal options and tactical optimization. AI, 3(4), 890\u2013930 (2022)","DOI":"10.3390\/ai3040054"},{"issue":"10","key":"20_CR3","first-page":"1376","volume":"84","author":"A Ozaki","year":"2001","unstructured":"Ozaki, A., Furuichi, M., Takahashi, K., Matsukawa, H.: Design and implementation of parallel and distributed wargame simulation system and its evaluation. IEICE Trans. Inf. Syst. 84(10), 1376\u20131384 (2001)","journal-title":"IEICE Trans. Inf. Syst."},{"key":"20_CR4","doi-asserted-by":"crossref","unstructured":"Schwartz, P.J., et al.: Ai-enabled wargaming in the military decision making process. In: Artificial Intelligence and Machine Learning for Multi-domain Operations Applications II, vol. 11413, pp. 118\u2013134. SPIE (2020)","DOI":"10.1117\/12.2560494"},{"issue":"6","key":"20_CR5","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1109\/TEVC.2007.892759","volume":"11","author":"Q Zhang","year":"2007","unstructured":"Zhang, Q., Li, H.: Moea\/d: a multiobjective evolutionary algorithm based on decomposition. IEEE Trans. Evol. Comput. 11(6), 712\u2013731 (2007)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"20_CR6","doi-asserted-by":"crossref","unstructured":"Luo, J., Cooper, J., Cao, C., Pham, K.: Cooperative adaptive control of a two-agent system. In: 2012 American Control Conference (ACC), pp. 2413\u20132418. IEEE (2012)","DOI":"10.1109\/ACC.2012.6315206"},{"issue":"1","key":"20_CR7","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1007\/s10878-021-00748-8","volume":"43","author":"Y Li","year":"2022","unstructured":"Li, Y., Wang, J., Liu, Z.: A simple two-agent system for multi-objective flexible job-shop scheduling. J. Comb. Optim. 43(1), 42\u201364 (2022)","journal-title":"J. Comb. Optim."},{"issue":"4","key":"20_CR8","doi-asserted-by":"publisher","first-page":"588","DOI":"10.1109\/JAS.2017.7510583","volume":"4","author":"K Wang","year":"2017","unstructured":"Wang, K., Gou, C., Duan, Y., Lin, Y., Zheng, X., Wang, F.-Y.: Generative adversarial networks: introduction and outlook. IEEE\/CAA J. Autom. Sin. 4(4), 588\u2013598 (2017)","journal-title":"IEEE\/CAA J. Autom. Sin."},{"issue":"5","key":"20_CR9","doi-asserted-by":"publisher","first-page":"1514","DOI":"10.1093\/ahr\/119.5.1514","volume":"119","author":"E Russell","year":"2014","unstructured":"Russell, E.: Coevolutionary history. Am. Hist. Rev. 119(5), 1514\u20131528 (2014)","journal-title":"Am. Hist. Rev."},{"key":"20_CR10","doi-asserted-by":"publisher","unstructured":"Keerativuttitumrong, N., Chaiyaratana, N., Varavithya, V.: Multi-objective cooperative coevolutionary evolutionary algorithms for continuous and combinatorial optimization. In: Bouvry, P., Gonz\u00e1lez-V\u00e9lez, H., Ko\u0142odziej, J. (eds.) Intelligent Decision Systems in Large-Scale Distributed Environments. Studies in Computational Intelligence, vol. 362, pp. 288\u2013297. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-21271-0_3","DOI":"10.1007\/978-3-642-21271-0_3"},{"key":"20_CR11","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1016\/j.jpdc.2017.05.018","volume":"112","author":"A Atashpendar","year":"2018","unstructured":"Atashpendar, A., Dorronsoro, B., Danoy, G., Bouvry, P.: A scalable parallel cooperative coevolutionary PSO algorithm for multi-objective optimization. J. Parallel Distrib. Comput. 112, 111\u2013125 (2018)","journal-title":"J. Parallel Distrib. Comput."},{"issue":"6","key":"20_CR12","doi-asserted-by":"publisher","first-page":"1552","DOI":"10.1016\/j.cor.2011.11.014","volume":"40","author":"B Dorronsoro","year":"2013","unstructured":"Dorronsoro, B., Danoy, G., Nebro, A.J., Bouvry, P.: Achieving super-linear performance in parallel multi-objective evolutionary algorithms by means of cooperative coevolution. Comput. Oper. Res. 40(6), 1552\u20131563 (2013)","journal-title":"Comput. Oper. Res."},{"issue":"10","key":"20_CR13","doi-asserted-by":"publisher","first-page":"1259","DOI":"10.1016\/S0893-6080(02)00095-3","volume":"15","author":"N Garc\u0131a-Pedrajas","year":"2002","unstructured":"Garc\u0131a-Pedrajas, N., Herv\u00e1s-Mart\u0131nez, C., Munoz-P\u00e9rez, J.: Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks). Neural Netw. 15(10), 1259\u20131278 (2002)","journal-title":"Neural Netw."},{"key":"20_CR14","doi-asserted-by":"crossref","unstructured":"Goh, C.K., Tan, K.C., Liu, D.S., Chiam, S.C.: A competitive and cooperative co-evolutionary approach to multi-objective particle swarm optimization algorithm design. Eur. J. Oper. Res. 202(1), 42\u201354 (2010)","DOI":"10.1016\/j.ejor.2009.05.005"},{"key":"20_CR15","doi-asserted-by":"crossref","unstructured":"Meneghini, I.R., Guimaraes, F.G., Gaspar-Cunha, A.: Competitive coevolutionary algorithm for robust multi-objective optimization: the worst case minimization. In: 2016 IEEE Congress on Evolutionary Computation (CEC), pp. 586\u2013593. IEEE (2016)","DOI":"10.1109\/CEC.2016.7743846"},{"key":"20_CR16","doi-asserted-by":"crossref","unstructured":"McIntyre, A.R., Heywood, M.I.: Multi-objective competitive coevolution for efficient GP classifier problem decomposition. In: 2007 IEEE International Conference on Systems Man and Cybernetics, pp. 1930\u20131937. IEEE (2007)","DOI":"10.1109\/ICSMC.2007.4414009"},{"key":"20_CR17","doi-asserted-by":"crossref","unstructured":"Zeng, F., Decraene, J., Hean Low, M.Y., Cai, W., Hingston, P.: Studies on pareto-based multi-objective competitive coevolutionary dynamics. In: 2011 IEEE Congress of Evolutionary Computation (CEC), pp. 2383\u20132390. IEEE (2011)","DOI":"10.1109\/CEC.2011.5949912"},{"key":"20_CR18","doi-asserted-by":"crossref","unstructured":"Corbo, L., Kraus, S., \u010di\u0107, B., Dabi\u0107, M., Caputo, A., Pellegrini, M.M.: Coopetition and innovation: a review and research agenda. Technovation. 122, 02624 (2023)","DOI":"10.1016\/j.technovation.2022.102624"},{"issue":"2","key":"20_CR19","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.A.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182\u2013197 (2002)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"20_CR20","doi-asserted-by":"publisher","unstructured":"Guha, R., Mckendrick, R., Feest, B., Deb, K.: Attacker-defender strategy optimization using multi-objective competitive co-evolution. In: Affenzeller, M., et al. Parallel Problem Solving from Nature \u2013 PPSN XVIII. PPSN 2024. LNCS, vol. 15151, pp. 351\u2013366. Springer, Cham (2024). https:\/\/doi.org\/10.1007\/978-3-031-70085-9_22","DOI":"10.1007\/978-3-031-70085-9_22"},{"key":"20_CR21","doi-asserted-by":"publisher","first-page":"1746","DOI":"10.1109\/TEVC.2023.3336715","volume":"28","author":"R Guha","year":"2023","unstructured":"Guha, R., Deb, K.: Compromising pareto-optimality with regularity in platform-based multi-objective optimization. IEEE Trans. Evol. Comput. 28, 1746\u20131780 (2023)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"20_CR22","unstructured":"Coefficient of variation. Accessed 27 Sept 2023"},{"key":"20_CR23","doi-asserted-by":"publisher","unstructured":"Guha, R., Deb, K.: RegEMO: sacrificing pareto-optimality for regularity in multi-objective problem-solving. In: Emmerich, M., et al. Evolutionary Multi-Criterion Optimization. EMO 2023. LNCS, vol. 13970, pp. 29\u201342. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-27250-9_3","DOI":"10.1007\/978-3-031-27250-9_3"}],"container-title":["Lecture Notes in Computer Science","Evolutionary Multi-Criterion Optimization"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-3506-1_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,28]],"date-time":"2025-02-28T12:49:28Z","timestamp":1740746968000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-3506-1_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819635054","9789819635061"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-3506-1_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"28 February 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EMO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Evolutionary Multi-Criterion Optimization","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canberra, ACT","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","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":"4 March 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 March 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"emo2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.emo2025.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}