{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T19:34:46Z","timestamp":1743104086062,"version":"3.40.3"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319204710"},{"type":"electronic","value":"9783319204727"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"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":[[2015]]},"DOI":"10.1007\/978-3-319-20472-7_26","type":"book-chapter","created":{"date-parts":[[2015,6,1]],"date-time":"2015-06-01T11:30:11Z","timestamp":1433158211000},"page":"238-246","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A New Physarum-Based Hybrid Optimization Algorithm for Solving 0\/1 Knapsack Problem"],"prefix":"10.1007","author":[{"given":"Shi","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zili","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,6,2]]},"reference":[{"key":"26_CR1","unstructured":"Li, K.L., Dai, G.M., Li, Q.: A genetic algorithm for the unbounded knapsack problem. In: Proceedings of the 2003 International Conference on Machine Learning and Cybernetics, pp. 1586\u20131590 (2003)"},{"key":"26_CR2","unstructured":"SysloM, M.: Discrete Optimization Algorithms, pp. 118\u2013165. Prentice-Hall, Englewood Cliffs (1983)"},{"key":"26_CR3","unstructured":"Colorni, A., Dorigo, M., Maniezzo, V.: Distributed optimization by ant colonies. In: Proceedings of the First European Conference on Artificial Life, pp. 134\u2013142 (1991)"},{"issue":"1","key":"26_CR4","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1109\/4235.585892","volume":"1","author":"M Dorigo","year":"1997","unstructured":"Dorigo, M., Gambardella, L.M.: Ant Colony System: A Cooperative Learning Approach to the Traveling Salesman Problem. IEEE Transactions on Evolutionary Computation 1(1), 53\u201366 (1997)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"8","key":"26_CR5","first-page":"4","volume":"21","author":"L Ma","year":"2001","unstructured":"Ma, L., Wang, L.D.: Ant Optimization Algorithm for Knapsack Problem. Journal of Systems Science and Systems Engineering 21(8), 4\u20135 (2001)","journal-title":"Journal of Systems Science and Systems Engineering"},{"key":"26_CR6","doi-asserted-by":"crossref","unstructured":"Shi, H.X.: Solution to 01 knapsack problem based on improved ant colony algorithm. In: Proceedings of the 2006 International Conference on Information Acquisition, pp. 1062\u20131066 (2006)","DOI":"10.1109\/ICIA.2006.305887"},{"issue":"6","key":"26_CR7","first-page":"1156","volume":"23","author":"CX Liao","year":"2011","unstructured":"Liao, C.X., Li, X.S., Zhang, P., et al.: Improved Ant Colony Algorithm Base on Normal Distribution for Knapsack Problem. Journal of System Simulation 23(6), 1156\u20131160 (2011)","journal-title":"Journal of System Simulation"},{"issue":"6803","key":"26_CR8","doi-asserted-by":"publisher","first-page":"470","DOI":"10.1038\/35035159","volume":"407","author":"T Nakagaki","year":"2000","unstructured":"Nakagaki, T., Yamada, H., Toth, A.: Maze-Solving by an Amoeboid Organism. Nature 407(6803), 470 (2000)","journal-title":"Nature"},{"issue":"5964","key":"26_CR9","first-page":"439","volume":"327","author":"A Tero","year":"2010","unstructured":"Tero, A., Takagi, S., Saigusa, T., et al.: Rules for Biologically Inspired Adaptive Network Design. Science Signalling 327(5964), 439 (2010)","journal-title":"Science Signalling"},{"issue":"3","key":"26_CR10","doi-asserted-by":"publisher","first-page":"036006","DOI":"10.1088\/1748-3182\/9\/3\/036006","volume":"9","author":"ZL Zhang","year":"2014","unstructured":"Zhang, Z.L., Gao, C., Liu, Y.X., Qian, T.: A Universal Optimization Strategy for Ant Colony Optimization Algorithms Based on the Physarum-Inspired Mathematical Model. Bioinspiration and Biomimetics 9(3), 036006 (2014)","journal-title":"Bioinspiration and Biomimetics"}],"container-title":["Lecture Notes in Computer Science","Advances in Swarm and Computational Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-20472-7_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,31]],"date-time":"2023-01-31T04:12:41Z","timestamp":1675138361000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-20472-7_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319204710","9783319204727"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-20472-7_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"2 June 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}