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001483908 019__ $$a1407277048
001483908 020__ $$a9783031462214$$q(electronic bk.)
001483908 020__ $$a3031462211$$q(electronic bk.)
001483908 020__ $$z9783031462207
001483908 020__ $$z3031462203
001483908 0247_ $$a10.1007/978-3-031-46221-4$$2doi
001483908 035__ $$aSP(OCoLC)1407317395
001483908 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dYDX$$dOCLCO$$dYDX$$dOCLCO
001483908 049__ $$aISEA
001483908 050_4 $$aQ342$$b.C667 2023
001483908 08204 $$a006.3$$223/eng/20231113
001483908 24500 $$aComputational intelligence /$$cJonathan Garibaldi, Christian Wagner, Thomas Bäck, Hak-Keung Lam, Marie Cottrell, Kurosh Madani, Kevin Warwick, editors.
001483908 260__ $$aCham :$$bSpringer,$$c2023.
001483908 300__ $$a1 online resource (263 p.).
001483908 4901_ $$aStudies in Computational Intelligence ;$$v1119
001483908 500__ $$a5.2 Results Analysis
001483908 500__ $$aIncludes author index.
001483908 5050_ $$aIntro -- Preface -- Organization -- Contents -- Evolutionary Optimization of Roles for Access Control in Enterprise Resource Planning Systems -- 1 Introduction -- 2 Problem Description -- 3 Related Work -- 4 The AddRole-EA -- 4.1 Presentation of the AddRole-EA -- 4.2 Evaluation -- 5 New Mutation Methods for the AddRole-EA -- 5.1 (M1): Intersection of Permission Sets -- 5.2 (M2): Permission Set Setminus Union of Permissions of Roles -- 5.3 (M3): Splitting of Roles -- 5.4 (M4): Permission Set of a User -- 5.5 (M5): Merging of Roles -- 6 Evaluation -- 7 Conclusion and Future Works -- References
001483908 5058_ $$aBehavioural Modelling of Digital Circuits in SystemVerilog Using Grammatical Evolution -- 1 Introduction -- 2 Background -- 2.1 Related Work -- 2.2 Grammatical Evolution -- 3 Experimental Design -- 3.1 Benchmark Problems -- 4 Results and Discussions -- 4.1 Success Rate -- 4.2 Grammar Design -- 4.3 Higher Abstraction Levels -- 4.4 Impact of Initialization Schemes on Circuit Design Benchmark Problems -- 5 Conclusion and Future Work -- References -- Crossover in Cartesian Genetic Programming: Evaluation of Two Phenotypic Methods -- 1 Introduction -- 2 Preliminaries
001483908 5058_ $$a2.1 Cartesian Genetic Programming -- 2.2 Advanced Crossover Operators for CGP -- 3 Review and Motivation -- 3.1 Previous Work on Crossover in CGP -- 3.2 Motivation for a New Evaluation -- 3.3 Formulation of Hypotheses -- 4 Evaluation -- 4.1 Experimental Setup -- 4.2 Benchmarks -- 4.3 Meta-optimization -- 4.4 Experiments -- 5 Discussion and Analysis -- 5.1 Analysis of Hypotheses -- 6 Conclusion and Future Work -- References -- An Information Granulation Approach Through m-Grams for Text Classification -- 1 Introduction -- 2 The Text Categorization System -- 2.1 Background and Conceptual Framework
001483908 5058_ $$a2.2 Overview of the Text Categorization System -- 3 Enhancing the System Performance -- 3.1 Performance Exploration Strategy -- 4 Simulation Settings and Results -- 4.1 Experimental Setup -- 4.2 Performance Evaluation -- 4.3 Experimental Results -- 5 Conclusions -- References -- Recent Research Topics in Evolutionary Multiobjective Optimization: A Personal Perspective -- 1 Introduction -- 2 Basic Concepts -- 3 Recent Research Topics -- 3.1 Algorithms -- 3.2 Scalability -- 3.3 Computationally Expensive MOPs -- 3.4 Hyper-Heuristics -- 4 Challenges -- 5 Conclusions -- References
001483908 5058_ $$aA Multi-objective Optimization Approach for the Capacitated Vehicle Routing Problem with Time Windows (CVRPTW) -- 1 Introduction -- 2 Formal Model -- 3 Various Approaches to the Problem -- 4 Our Approach -- 4.1 Setting the Input Parameters -- 4.2 Building the Initial Population Using a Greedy Approach -- 4.3 Tweak Operator -- 4.4 Recombination Operator -- 4.5 Fuse Operator: Naïve Merge -- 4.6 Tuning Operator -- 4.7 SPEA2 Fitness Computation and Archive Construction -- 4.8 SPEA2 Algorithm -- 4.9 Evolve Operator -- 5 Summary of Our Experimental Results -- 5.1 Hyperparameters Tuning
001483908 506__ $$aAccess limited to authorized users.
001483908 520__ $$aThis book includes a set of selected revised and extended versions of the best papers presented at the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) held as an online event, from October 25 to 27, 2021. We focus on three outstanding fields of Computational Intelligence through the selected panel, namely: Evolutionary Computation, Fuzzy Computation, and Neural Computation. Besides presenting the recent advances of the selected areas, the book aims to aggregate new and innovative solutions for confirmed researchers and on the other hand to provide a source of information and/or inspiration for young interested researchers or learners in the ever-expanding and current field of Computational Intelligence. It constitutes a precious provision of knowledge for individual researchers as well as represent a valuable sustenance for collective use in academic libraries (of universities and engineering schools) relating innovative techniques in various fields of applications.
001483908 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 13, 2023).
001483908 650_6 $$aIntelligence informatique.
001483908 650_0 $$aComputational intelligence.$$0(DLC)sh 94004659
001483908 655_0 $$aElectronic books.
001483908 7001_ $$aGaribaldi, Jonathan.
001483908 7001_ $$aWagner, Christian.$$0(OCoLC)oca02355660
001483908 7001_ $$aBäck, Thomas,$$d1963-
001483908 7001_ $$aLam, Hak-Keung.
001483908 7001_ $$aCottrell, Marie.
001483908 7001_ $$aMadani, Kurosh.
001483908 7001_ $$aWarwick, Kevin,$$d1954-
001483908 77608 $$iPrint version:$$aGaribaldi, Jonathan$$tComputational Intelligence$$dCham : Springer International Publishing AG,c2023$$z9783031462207
001483908 830_0 $$aStudies in computational intelligence ;$$vv. 1119.
001483908 852__ $$bebk
001483908 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-46221-4$$zOnline Access$$91397441.1
001483908 909CO $$ooai:library.usi.edu:1483908$$pGLOBAL_SET
001483908 980__ $$aBIB
001483908 980__ $$aEBOOK
001483908 982__ $$aEbook
001483908 983__ $$aOnline
001483908 994__ $$a92$$bISE