{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T22:19:28Z","timestamp":1761949168814,"version":"build-2065373602"},"publisher-location":"Berlin, Heidelberg","reference-count":15,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540769309"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-76931-6_32","type":"book-chapter","created":{"date-parts":[[2007,11,5]],"date-time":"2007-11-05T11:42:55Z","timestamp":1194262975000},"page":"369-380","source":"Crossref","is-referenced-by-count":9,"title":["Enhancements to Extremal Optimisation for Generalised Assignment"],"prefix":"10.1007","author":[{"given":"Marcus","family":"Randall","sequence":"first","affiliation":[]}],"member":"297","reference":[{"key":"32_CR1","unstructured":"Boettcher, S., Percus, A.: Extremal optimization: Methods derived from Co-evolution. In: Banzhaf, W., Daida, J., Eiben, A., Garzon, M., Honavar, V., Jakiela, M., Smith, R. (eds.) Proceedings of the Genetic and Evolutionary Computation Conference, pp. 825\u2013832 (1999)"},{"key":"32_CR2","unstructured":"Boettcher, S., Percus, A.: Combining local search with co-evolution in a remarkably simple way. In: Proceedings of the Congress on Evolutionary Computation, Piscataway, NJ, pp. 1578\u20131584. IEEE Service Center (2000)"},{"key":"32_CR3","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1016\/S0004-3702(00)00007-2","volume":"119","author":"S. Boettcher","year":"2000","unstructured":"Boettcher, S., Percus, A.: Nature\u2019s way of optimizing. Artificial Intelligence\u00a0119, 275\u2013286 (2000)","journal-title":"Artificial Intelligence"},{"key":"32_CR4","series-title":"Interfaces in Computer Science and Operations Research","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1007\/978-1-4615-1043-7_3","volume-title":"Proceedings of the 8th INFORMS Computer Society Conference","author":"S. Boettcher","year":"2003","unstructured":"Boettcher, S., Percus, A.: Extremal Optimization: An evolutionary local search algorithm. In: Proceedings of the 8th INFORMS Computer Society Conference, Norwell, MA. Interfaces in Computer Science and Operations Research, vol.\u00a021, pp. 61\u201378. Kluwer Academic Publishers, Dordrecht (2003)"},{"key":"32_CR5","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/S0305-0548(96)00032-9","volume":"24","author":"P. Chu","year":"1997","unstructured":"Chu, P., Beasley, J.: A genetic algorithm for the generalised assignment problem. Computers and Operations Research\u00a024, 17\u201323 (1997)","journal-title":"Computers and Operations Research"},{"key":"32_CR6","volume-title":"New Ideas in Optimization","author":"M. Dorigo","year":"1999","unstructured":"Dorigo, M., Di Caro, G.: The ant colony optimization meta-heuristic. In: Corne, D., Dorigo, M., Glover, F. (eds.) New Ideas in Optimization, McGraw-Hill, London (1999)"},{"key":"32_CR7","volume-title":"Genetic Algorithms in Search, Optimization and Machine Learning","author":"D. Goldberg","year":"1989","unstructured":"Goldberg, D.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison Wesley, Reading MA (1989)"},{"key":"32_CR8","first-page":"379","volume-title":"New Ideas in Optimization","author":"J. Kennedy","year":"1999","unstructured":"Kennedy, J., Eberhart, R.: The particle swam: Social adaptation in social information-processing systems. In: New Ideas in Optimization, pp. 379\u2013387. McGraw-Hill, London (1999)"},{"key":"32_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"586","DOI":"10.1007\/978-3-540-24669-5_77","volume-title":"Parallel Processing and Applied Mathematics","author":"A. Lewis","year":"2004","unstructured":"Lewis, A., Abramson, D., Peachey, T.: An evolutionary programming algorithm for automatic engineering design. In: Wyrzykowski, R., Dongarra, J.J., Paprzycki, M., Wa\u015bniewski, J. (eds.) Parallel Processing and Applied Mathematics. LNCS, vol.\u00a03019, pp. 586\u2013594. Springer, Heidelberg (2004)"},{"key":"32_CR10","unstructured":"Martello, S., Toth, P.: An algorithm for the generalised assignment problem. In: Proceedings of the 9th IFORS Conference, Hamburg, Germany (1981)"},{"key":"32_CR11","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","DOI":"10.1007\/11779568_33","volume-title":"Advances in Applied Artificial Intelligence","author":"I. Moser","year":"2006","unstructured":"Moser, I., Hendtlass, T.: On the behaviour of extremal optimisation when solving problems with hidden dynamics. In: Ali, M., Dapoigny, R. (eds.) IEA\/AIE 2006. LNCS (LNAI), vol.\u00a04031, Springer, Heidelberg (2006)"},{"key":"32_CR12","doi-asserted-by":"crossref","unstructured":"Moser, I., Hendtlass, T.: Solving problems with hidden dynamics - comparison of extremal optimisation and ant colony system. In: Congress on Evolutionary Computing, pp. 1248\u20131255 (2006)","DOI":"10.1109\/CEC.2006.1688452"},{"key":"32_CR13","doi-asserted-by":"crossref","unstructured":"Randall, M.: Heuristics for ant colony optimisation using the generalised assignment problem. In: Proceedings of the Congress on Evolutionary Computing 2004, Portland, Oregon, pp. 1916\u20131923 (2004)","DOI":"10.1109\/CEC.2004.1331130"},{"key":"32_CR14","series-title":"Lecture Notes in Artificial Intelligence","first-page":"974","volume-title":"Twentieth International Conference on Industrial, Engineering and Other Applications of Applied Intelligence Systems","author":"M. Randall","year":"2007","unstructured":"Randall, M.: Competitive ant colony optimisation. In: Okuno, H., Ali, M. (eds.) Twentieth International Conference on Industrial, Engineering and Other Applications of Applied Intelligence Systems. LNCS (LNAI), vol.\u00a04570, pp. 974\u2013983. Springer, Heidelberg (2007)"},{"key":"32_CR15","volume-title":"2nd IEEE International e-Science and Grid Computing Conference","author":"M. Randall","year":"2006","unstructured":"Randall, M., Lewis, A.: An extended extremal optimisation model for parallel architectures. In: 2nd IEEE International e-Science and Grid Computing Conference. Workshop on Biologically-inspired Optimisation Methods for Parallel and Distributed Architectures: Algorithms, Systems and Applications, IEEE Computer Society, Los Alamitos (2006)"}],"container-title":["Lecture Notes in Computer Science","Progress in Artificial Life"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-76931-6_32.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,22]],"date-time":"2025-01-22T03:11:55Z","timestamp":1737515515000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-76931-6_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540769309"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-76931-6_32","relation":{},"subject":[]}}