{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T17:02:41Z","timestamp":1725987761331},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319984452"},{"type":"electronic","value":"9783319984469"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-98446-9_9","type":"book-chapter","created":{"date-parts":[[2018,8,7]],"date-time":"2018-08-07T11:37:47Z","timestamp":1533641867000},"page":"89-99","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["A Flexible Evolutionary Algorithm for Task Allocation in Multi-robot Team"],"prefix":"10.1007","author":[{"given":"Muhammad Usman","family":"Arif","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sajjad","family":"Haider","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,8,8]]},"reference":[{"key":"9_CR1","doi-asserted-by":"publisher","first-page":"939","DOI":"10.1177\/0278364904045564","volume":"23","author":"BP Gerkey","year":"2004","unstructured":"Gerkey, B.P., Matari\u0107, M.J.: A formal analysis and taxonomy of task allocation in multi-robot systems. Int. J. Robot. Res. 23, 939\u2013954 (2004)","journal-title":"Int. J. Robot. Res."},{"key":"9_CR2","doi-asserted-by":"publisher","first-page":"1061","DOI":"10.1007\/s10458-014-9276-y","volume":"29","author":"SD Sen","year":"2015","unstructured":"Sen, S.D., Adams, J.A.: An influence diagram based multi-criteria decision making framework for multirobot coalition formation. Auton. Agent. Multi-Agent Syst. 29, 1061\u20131090 (2015)","journal-title":"Auton. Agent. Multi-Agent Syst."},{"key":"9_CR3","doi-asserted-by":"crossref","unstructured":"Gerkey, B.P., Mataric, M.J.: Multi-robot task allocation: analyzing the complexity and optimality of key architectures. In: Proceedings of the IEEE International Conference on Robotics and Automation 2003 ICRA 2003, vol. 3, pp. 3862\u20133868 (2003)","DOI":"10.1109\/ROBOT.2003.1242189"},{"key":"9_CR4","doi-asserted-by":"publisher","first-page":"e256524","DOI":"10.1155\/2013\/256524","volume":"2013","author":"M Badreldin","year":"2013","unstructured":"Badreldin, M., Hussein, A., Khamis, A.: A comparative study between optimization and market-based approaches to multi-robot task allocation. Adv. Artif. Intell. 2013, e256524 (2013)","journal-title":"Adv. Artif. Intell."},{"key":"9_CR5","unstructured":"Koenig, S., et al.: The power of sequential single-item auctions for agent coordination. In: Proceedings of the National Conference on Artificial Intelligence, vol. 1999, p. 1625. AAAI Press, Menlo Park, MIT Press, Cambridge (2006)"},{"key":"9_CR6","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"421","DOI":"10.1007\/978-3-319-64107-2_33","volume-title":"Towards Autonomous Robotic Systems","author":"E Schneider","year":"2017","unstructured":"Schneider, E., Sklar, E.I., Parsons, S.: Mechanism selection for multi-robot task allocation. In: Gao, Y., Fallah, S., Jin, Y., Lekakou, C. (eds.) TAROS 2017. LNCS (LNAI), vol. 10454, pp. 421\u2013435. Springer, Cham (2017). \nhttps:\/\/doi.org\/10.1007\/978-3-319-64107-2_33"},{"key":"9_CR7","series-title":"Studies in Computational Intelligence","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1007\/978-3-642-17764-4_2","volume-title":"Innovations in Defence Support Systems -2","author":"P Dasgupta","year":"2011","unstructured":"Dasgupta, P.: Multi-Robot task allocation for performing cooperative foraging tasks in an initially unknown environment. In: Jain, L.C., Aidman, E.V., Abeynayake, C. (eds.) Innovations in Defence Support Systems -2. SCI, vol. 338, pp. 5\u201320. Springer, Heidelberg (2011). \nhttps:\/\/doi.org\/10.1007\/978-3-642-17764-4_2"},{"key":"9_CR8","doi-asserted-by":"crossref","unstructured":"Mouradian, C., Sahoo, J., Glitho, R.H., Morrow, M.J., Polakos, P.A.: A coalition formation algorithm for multi-robot task allocation in large-scale natural disasters. In: 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC), pp. 1909\u20131914 (2017)","DOI":"10.1109\/IWCMC.2017.7986575"},{"key":"9_CR9","doi-asserted-by":"crossref","unstructured":"Arif, M.U., Haider, S.: An evolutionary traveling salesman approach for multi-robot task allocation. In: 9th International Conference on Agents and Artificial Intelligence, pp. 567\u2013574 (2017)","DOI":"10.5220\/0006197305670574"},{"key":"9_CR10","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1142\/S2301385015500041","volume":"03","author":"M Darrah","year":"2015","unstructured":"Darrah, M., et al.: A flexible genetic algorithm system for multi-UAV surveillance: algorithm and flight testing. Un. Sys. 03, 49\u201362 (2015)","journal-title":"Un. Sys."},{"key":"9_CR11","doi-asserted-by":"publisher","first-page":"246","DOI":"10.1016\/j.ejor.2005.04.027","volume":"175","author":"AE Carter","year":"2006","unstructured":"Carter, A.E., Ragsdale, C.T.: A new approach to solving the multiple traveling salesperson problem using genetic algorithms. Eur. J. Oper. Res. 175, 246\u2013257 (2006)","journal-title":"Eur. J. Oper. Res."},{"key":"9_CR12","unstructured":"Davis, L.: Applying adaptive algorithms to epistatic domains. In: IJCAI, pp. 162\u2013164 (1985)"},{"key":"9_CR13","doi-asserted-by":"crossref","unstructured":"Chen, S.H., Chen, M.C.: Operators of the two-part encoding genetic algorithm in solving the multiple traveling salesmen problem. In: 2011 International Conference on Technologies and Applications of Artificial Intelligence, pp. 331\u2013336 (2011)","DOI":"10.1109\/TAAI.2011.64"},{"key":"9_CR14","doi-asserted-by":"publisher","first-page":"1245","DOI":"10.1016\/S0045-7825(01)00323-1","volume":"191","author":"CAC Coello","year":"2002","unstructured":"Coello, C.A.C.: Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art. Comput. Methods Appl. Mech. Eng. 191, 1245\u20131287 (2002)","journal-title":"Comput. Methods Appl. Mech. Eng."}],"container-title":["Lecture Notes in Computer Science","Computational Collective Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-98446-9_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,8,7]],"date-time":"2018-08-07T11:41:06Z","timestamp":1533642066000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-98446-9_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319984452","9783319984469"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-98446-9_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]}}}