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[null,"1.","Record Nr.",null,"UNISA996390509003316"]
[null,null,"Autore",null,"Askham Anthony <fl. 1553.>"]
[null,null,"Titolo",null,"A lytel treatyse of astronomy [[electronic resource] ] : declaryng the leape yere, and what is the cause therof, and howe to knowe saynte Mathies day for euer, with the maruelous mocion of the sonne ... and also the dyuersities that may come by dyuers and sundry inhabitacions vpon the earth. whereby December in the space of tyme, shalbe remoued and be the hyghest monethe in sommer ... [et] also where the longest day in the yeare shalbe halfe the yeare long. Made and composed by Anthony Askham physition. In the yere of our Lorde God. M.D.L.II. Also there is a table added to the ende of the booke, whereby maye be knowen al the partytulers [sic] therein conteyned"]
[null,null,"Pubbl/distr/stampa",null,"[Imprinted at London, : By Wylliam Powel, [1562]]"]
[null,null,"Descrizione fisica",null,"[1], xxi [i.e. xxii], [5] leaves"]
[null,null,"Soggetti",null,"Calendar"]
[{"$nulls":4},"Time - Systems and standards"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Printer's name from colophon; publication date from STC."]
[{"$nulls":4},"With nine final contents pages."]
[{"$nulls":4},"Leaf xxii misnumbered xxi."]
[{"$nulls":4},"Running title reads: The declaracion of the leape yere."]
[{"$nulls":4},"Reproduction of the original in the Henry E. Huntington Library and Art Gallery."]
[null,null,null,"Sommario/riassunto","eebo-0113"]
[null,"2.","Record Nr.",null,"UNINA9910481960503321"]
[null,null,"Titolo",null,"Simulated Evolution and Learning : 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, Proceedings / / edited by Grant Dick, Will N. Browne, Peter Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan, Ke Tang"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014"]
[null,null,"ISBN",null,"3-319-13563-5"]
[null,null,"Edizione",null,"[1st ed. 2014.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XVI, 862 p. 267 illus.)"]
[null,null,"Collana",null,"Theoretical Computer Science and General Issues, , 2512-2029 ; ; 8886"]
[null,null,"Disciplina",null,"004"]
[null,null,"Soggetti",null,"Computer science"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Computer simulation"]
[{"$nulls":4},"Computer science - Mathematics"]
[{"$nulls":4},"Discrete mathematics"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Theory of Computation"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Computer Modelling"]
[{"$nulls":4},"Discrete Mathematics in Computer Science"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Evolutionary optimization -- Evolutionary multi-objective optimization -- Evolutionary machine learning -- Theoretical developments -- Evolutionary feature reduction -- Evolutionary scheduling and combinatorial optimization -- Real world applications and evolutionary image analysis."]
[null,null,null,"Sommario/riassunto","This volume constitutes the proceedings of the 10th International Conference on Simulated Evolution and Learning, SEAL 2012, held in Dunedin, New Zealand, in December 2014. The 42 full papers and 29 short papers presented were carefully reviewed and selected from 109 "]
[{"$nulls":4},"submissions. The papers are organized in topical sections on evolutionary optimization; evolutionary multi-objective optimization; evolutionary machine learning; theoretical developments; evolutionary feature reduction; evolutionary scheduling and combinatorial optimization; real world applications and evolutionary image analysis."]