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[null,"1.","Record Nr.",null,"UNINA990006870890403321"]
[null,null,"Autore",null,"Triaud, Jean-Louis"]
[null,null,"Titolo",null,"La légende noire de la Sanusiyya : une confrérie musulmane saharienne sous le regard franȧis : 1840-1930 / Jean-LouisTriaud"]
[null,null,"Pubbl/distr/stampa",null,"Paris : Editions de la Maison des sciences de l'homme, c 1995"]
[null,null,"Descrizione fisica",null,"2 v. 24 cm"]
[null,null,"Disciplina",null,"960"]
[null,null,"Locazione",null,"FSPBC"]
[null,null,"Collocazione",null,"XIV E 4072"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","In testa al front.: Institut de recherches et d'études sur le monde arabe er musulman, Aix-en-Provence. v. 1, 2."]
[null,"2.","Record Nr.",null,"UNISALENTO991004335638307536"]
[null,null,"Autore",null,"Meoni, Armando"]
[null,null,"Titolo",null,"La ragazza di fabbrica / Armando Meoni"]
[null,null,"Pubbl/distr/stampa",null,"Firenze : Vallecchi, 1954"]
[null,null,"Descrizione fisica",null,"241 p. ; 17 cm"]
[null,null,"Collana",null,"Contemporanea"]
[null,null,"Disciplina",null,"853.9"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"3.","Record Nr.",null,"UNISA996647866403316"]
[null,null,"Autore",null,"Singh Hemant"]
[null,null,"Titolo",null,"Evolutionary Multi-Criterion Optimization : 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4–7, 2025, Proceedings, Part II / / edited by Hemant Singh, Tapabrata Ray, Joshua Knowles, Xiaodong Li, Juergen Branke, Bing Wang, Akira Oyama"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"9789819635382"]
[{"$nulls":4},"9819635381"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (397 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 15513"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Artificial Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"-- Algorithm analysis.  -- Visual Explanations of Some Problematic Search Behaviors of Frequently Used EMO Algorithms.  -- Numerical Analysis of Pareto Set Modeling.  -- When Is Non-deteriorating Population Update in MOEAs Beneficial?.  -- Analysis of Merge Non-dominated Sorting Algorithm.  -- Comparative Analysis of Indicators for Multi-objective Diversity Optimization.  -- Performance Analysis of Constrained Evolutionary Multi-Objective Optimization Algorithms on Artificial and Real-World Problems.  -- On the Approximation of the Entire Pareto Front of a Constrained Multi objective Optimization Problem.  -- Small Population Size is Enough in Many Cases with External Archives.  -- Surrogates and machine learning.  -- Knowledge Gradient for Multi-Objective Bayesian Optimization with Decoupled Evaluations.  -- Surrogate Strategies for Scalarisation-based Multi-objective Bayesian Optimizers.  -- A Mixed-Fidelity Evaluation Algorithm for Efficient Constrained Multi- and Many-Objective Optimization: First Results.  -- Efficient and Accurate Surrogate-Assisted Approach to Multi-Objective Optimization Using Deep Neural Networks.  -- Large Language Model for Multiobjective Evolutionary Optimization.  -- Multi-Objective Multi-Agent Reinforcement Learning for Autonomous Driving in Mixed-Traffic Environments.  -- Parallel TD3 for Policy Gradient-based Multi-Condition Multi-Objective Optimisation.  -- Multi-criteria decision support.  -- Reliability-based "]
[{"$nulls":4},"MCDM Using Objective Preferences Under Variable Uncertainty.  -- An Efficient Iterative Approach for Uniformly Representing Pareto Fronts.  -- Preference Learning for Multi-objective Reinforcement Learning by Means of Supervised Learning.  -- Bayesian preference elicitation for decision support in multi-objective optimization."]
[null,null,null,"Sommario/riassunto","This two-volume set LNCS 15512-15513 constitutes the proceedings of the 13th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2025, held in Canberra, ACT, Australia, in March 2025. The 38 full papers and 2 extended abstracts presented in this book were carefully reviewed and selected from 63 submissions. The papers are divided into the following topical sections: Part I : Algorithm design; Benchmarking; Applications. Part II : Algorithm analysis; Surrogates and machine learning; Multi-criteria decision support."]