{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":4,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":60,"n_cols":5,"rows_kept":60,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[4,2,4,3],[5,2,5,3],[6,2,6,3],[7,2,7,3],[8,2,8,3],[10,2,10,3],[11,2,11,3],[14,2,14,3],[23,2,23,3],[23,4,23,5],[24,2,24,3],[24,4,24,5],[25,2,25,3],[25,4,25,5],[26,2,26,3],[27,2,27,3],[28,2,28,3],[29,2,29,3],[30,2,30,3],[32,2,32,3],[32,4,32,5],[33,2,33,3],[33,4,33,5],[34,2,34,3],[34,4,34,5],[35,2,35,3],[36,2,36,3],[37,2,37,3],[38,2,38,3],[39,2,39,3],[40,2,40,3],[41,2,41,3],[43,2,43,3],[43,4,43,5],[44,2,44,3],[44,4,44,5],[45,2,45,3],[47,2,47,3],[48,2,48,3],[49,2,49,3],[50,2,50,3],[55,2,55,3],[56,2,56,3],[59,2,59,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNISA996464549503316"]
[null,null,"Titolo",null,"Bio-inspired computing . Part I : theories and applications : 16th international conference, BIC-TA 2021, Taiyuan, China, December 17-19, 2021 : revised selected papers / / Linqiang Pan [and three others], editors"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer, , [2022]"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"981-19-1256-4"]
[null,null,"Descrizione fisica",null,"1 online resource (478 pages)"]
[null,null,"Collana",null,"Communications in computer and information science ; ; Volume 1565"]
[null,null,"Disciplina",null,"006"]
[null,null,"Soggetti",null,"Natural computation"]
[{"$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,null,"Note generali","Includes index."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Evolutionary Computation and Swarm Intelligence -- An Optimization Task Scheduling Model for Multi-robot Systems in Intelligent Warehouses -- 1 Introduction -- 2 Related Work -- 3 Intelligent Warehouses -- 3.1 Problem Statement -- 3.2 BHM -- 4 Improved Intelligent Warehouses -- 4.1 New Model -- 4.2 New Model -- 5 Simulated Experiments -- 5.1 Performance Metrics -- 5.2 Parameter Settings -- 5.3 Analysis of Results -- 6 Conclusion -- References -- A Multi-objective Optimization Algorithm for Wireless Sensor Network Energy Balance Problem in Internet of Things -- Abstract -- 1 Introduction -- 2 WSN Energy Balance Problem -- 2.1 Problem Analysis -- 2.2 Problem Model -- 3 Algorithm Principle -- 3.1 NSGA-II -- 3.2 Clustering Mechanism -- 3.3 Framework of CMNSGA-II -- 4 Experimental Simulation -- 4.1 Parameter Setting -- 4.2 Result Analysis -- 5 Conclusion -- References -- Improved AODV Routing Protocol  Based on Multi-objective Simulated  Annealing Algorithm -- Abstract -- 1 Introduction -- 2 Ad Hoc Network and AODV Protocol -- 3 Multi-objective Simulated Annealing -- 3.1 Single-objective Simulated Annealing -- 3.2 Multi-objective Simulated Annealing -- 3.3 Main Process of Multi-target Annealing -- 4 Multi-objective Optimization AODV Routing Protocol -- 4.1 Network Model -- 4.2 Fitness Function -- 4.3 Perturbation Function -- 4.4 Multi-objective "]
[{"$nulls":4},"Simulated Annealing Optimization Algorithm -- 5 Simulation and Analysis -- 5.1 Simulation Scenario Description -- 5.2 Simulation Parameter Setting -- 5.3 Simulation Experiment Results and Comparative Analysis -- 6 Conclusion -- Acknowledgement -- References -- Solving Satellite Range Scheduling Problem with Learning-Based Artificial Bee Colony Algorithm -- Abstract -- 1 Introduction -- 2 Problem Description."]
[{"$nulls":4},"3 Learning-Based Artificial Bee Colony Algorithm -- 3.1 Traditional Artificial Bee Colony Algorithm -- 3.2 Algorithm Overall Framework -- 3.3 Position-Based Learning Strategy -- 3.4 Error-Based Learning Strategy -- 3.5 Parameter Analysis -- 4 Experiment Analysis -- 4.1 Analysis of Algorithm -- 4.2 Comparison to State-Of-The-Art Algorithms -- 5 Conclusion -- Acknowledgement -- References -- Black Widow Spider Algorithm Based on Differential Evolution and Random Disturbance -- Abstract -- 1 Introduction -- 2 Black Widow Spider Algorithm -- 3 Improved Black Widow Spider Algorithm -- 3.1 Population Reproduction for Global Optimization -- 3.2 Population Mutation Based on Differential Evolution Algorithm -- 3.3 Random Disturbance Strategy -- 4 Algorithm Implementation -- 5 Simulation Experiment -- 5.1 Test Function -- 5.2 Design Problems of Tension Spring -- 6 Summary -- Acknowledgments -- References -- Attribute Selection Method Based on Artificial Bee Colony Algorithm and Neighborhood Discrimination Matrix Optimization -- 1 Introduction -- 2 Related Knowledge -- 2.1 Basic Knowledge of Neighborhood Rough Set -- 2.2 Artificial Bee Colony and Its Improved Algorithm -- 3 Improved Attribute Selection Algorithm for Artificial Bee Colony and Neighborhood Discrimination Matrix -- 3.1 Definition of Attribute Importance of Neighborhood Discernibility Matrix -- 3.2 Fitness Function Construction -- 3.3 Neighborhood Discernibility Matrix Importance and Artificial Bee Colony Feature Selection Algorithm -- 4 Experiment Analysis -- 4.1 Selection of -- 4.2 Algorithm Comparison Results -- 4.3 Algorithm Performance Comparison -- 5 Concluding Remarks -- References -- A Cuckoo Quantum Evolutionary Algorithm for the Graph Coloring Problem -- Abstract -- 1 Introduction -- 2 Problem Description -- 3 The Cuckoo Quantum Evolutionary Algorithm for GCP."]
[{"$nulls":4},"3.1 Representation of the Solution to the Graph Coloring Problem -- 3.2 Quantum Matrix in the Cuckoo Quantum Evolutionary Algorithm -- 3.3 Framework of the Cuckoo Quantum Evolutionary Algorithm -- 3.4 Initialization of the CQEA -- 3.5 Local Search in the Solution Space -- 3.6 The Cuckoo Search -- 3.7 The Perturbance Strategy -- 4 Experimental Results -- 5 Conclusion -- References -- Feature Selection Algorithm Based on Discernibility Matrix and Fruit Fly Optimization -- 1 Introduction -- 2 Related Knowledge -- 2.1 Rough Set Theory -- 2.2 Fruit Fly Optimization Algorithm -- 3 Feature Selection Algorithm Based on Discernibility Matrix and Fruit Fly Optimization -- 3.1 Method of Defining Attribute Importance Based on Discernibility Matrix -- 3.2 Rough Set Fitness Function -- 3.3 Feature Selection Algorithm Based on Discernibility Matrix and Improved Fruit Fly Optimization -- 3.4 Algorithm Time Complexity -- 4 Experimental Data Analysis -- 4.1 Instance Verification -- 4.2 UCI Data Sets Experimental Data Analysis -- 5 Concluding Remarks -- References -- Feature Selection Method Based on Ant Colony Optimization Algorithm and Improved Neighborhood Discernibility Matrix -- 1 Introduction -- 2 Related Knowledge -- 2.1 Neighborhood Rough Set Theory -- 2.2 Ant Colony Algorithm and Its Optimized Feature Selection Method -- 3 Feature Selection Method Based on ACO and Improved Neighborhood Discernibility Matrix -- 3.1 The Definition of Attribute Importance of "]
[{"$nulls":4},"Neighborhood Discernibility Matrix -- 3.2 Description of Algorithm Steps -- 3.3 Analysis of Algorithm Time Complexity -- 4 Analysis of Experimental Data -- 4.1 Case Analysis -- 4.2 Analysis of UCI Data Set -- 5 Concluding Remarks -- References -- Implementation and Application of NSGA-III Improved Algorithm in Multi-objective Environment -- Abstract -- 1 Introduction."]
[{"$nulls":4},"2 Many-Objective Problems and EMO Methodologies -- 2.1 Potential Difficulties in Dealing with Multi-objective Problems -- 2.2 Two Strategies to Face These Difficulties -- 3 NSGA-III Algorithm and Its Improvement -- 3.1 Determines the Reference Point on the Hyperplane -- 3.2 Normalization of Population Members -- 3.3 Association Operation -- 3.4 Inheritance of Population Offspring -- 3.5 Evaluation of Service Performance -- 4 Experiment -- 4.1 Experimental Environment Setting -- 4.2 Analysis of Experimental Results -- 5 Conclusion -- References -- A Differential Evolution Algorithm for Multi-objective Mixed-Variable Optimization Problems -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Overview -- 3.1 Review of NSGA-II -- 3.2 Review of MCDEmv -- 4 The Proposed MO-MCDEmv -- 4.1 Selection of the Optimal Individual -- 4.2 The Modifications of Statistics-Based Local Search -- 4.3 The Framework of MO-MCDEmv -- 5 Numerical Experiment -- 5.1 Set Relevant Parameters -- 5.2 The Results of Two Practical MO-MVOPs -- 6 Conclusion -- Acknowledgments -- References -- An Effective Data Balancing Strategy Based on Swarm Intelligence Algorithm for Malicious Code Detection and Classification -- 1 Introduction -- 2 Swarm Intelligence Optimization Model -- 3 Dynamic Sampling Strategy Based on Swarm Intelligence Algorithm -- 3.1 Dynamic Sampling Model -- 3.2 Dynamic Sampling Based on Swarm Intelligence Algorithm -- 4 Experimental Evaluation -- 4.1 Experimental Setup -- 4.2 Type of Unbalanced Data -- 4.3 Data Sets and Models -- 4.4 Result Analysis -- 5 Conclusion -- References -- Adaptive Multi-strategy Learning Particle Swarm Optimization with Evolutionary State Estimation -- 1 Introduction -- 2 Related Works -- 2.1 Canonical PSO -- 2.2 Variants of PSO -- 3 Proposed AMSLPSO Algorithm -- 3.1 Evolutionary State Estimation."]
[{"$nulls":4},"3.2 Random Elite and Mainstream Learning Exemplars -- 3.3 Choose Learning Strategy -- 3.4 Framework of AMSLPSO -- 4 Experimental Results and Analysis -- 4.1 Benchmark Functions and Comparison Algorithms -- 4.2 Experimental Results -- 5 Conclusion -- References -- Water Wave Optimization with Distributed-Learning Refraction -- 1 Introduction -- 2 The Basic WWO Algorithm -- 2.1 Propagation -- 2.2 Refraction -- 2.3 Breaking -- 2.4 The Algorithmic Framework of WWO -- 3 The Proposed DLWWO Algorithm -- 3.1 Nonlinear Dimension Reduction -- 3.2 Distributed-Learning Refraction -- 3.3 The Framework of DLWWO -- 3.4 Runtime Complexity of DLWWO -- 4 Numerical Experiments -- 4.1 Experimental Parameter Setting -- 4.2 Comparative Experiments -- 5 Conclusion -- References -- Adaptive Differential Privacy Budget Allocation Algorithm Based on Random Forest -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Algorithm-Related Definitions -- 3.1 Solving for Feature Weights and Decision Tree Weights. -- 3.2 Filtering of Feature Sets -- 3.3 Adaptive Allocation of Privacy Protection Budgets -- 4 Algorithm Implementation and Analysis -- 4.1 Algorithm Flow -- 4.2 Algorithm Description -- 5 Experimental Results and Analysis -- 5.1 Experimental Design -- 6 Experimental Results and Analysis -- 7 Conclusion and Discussion -- References -- A Node Influence Based Memetic Algorithm for Community Detection in Complex Networks -- Abstract -- 1 Introduction -- 2 Background Knowledge -- 2.1 Modularity -- 2.2 Transition Probability Matrix -- 3 Proposed Algorithm -- 3.1 "]
[{"$nulls":4},"Representation -- 3.2 Framework -- 3.3 Initialization -- 3.4 Selection -- 3.5 Crossover -- 3.6 Mutation -- 3.7 Multi-level Greedy Search -- 4 Experimental Study and Results Analysis -- 4.1 Experimental Settings -- 4.2 Experimental Results and Analysis -- 5 Conclusions -- Acknowledgements -- References."]
[{"$nulls":4},"Adaptive Constraint Multi-objective Differential Evolution Algorithm Based on SARSA Method."]
[null,"2.","Record Nr.",null,"UNISALENTO991003212769707536"]
[null,null,"Autore",null,"Kipling, Rudyard"]
[null,null,"Titolo",null,"The jungle book / Rudyard Kipling"]
[null,null,"Pubbl/distr/stampa",null,"London : Macmillan, 1960"]
[null,null,"Descrizione fisica",null,"277 p. : ill. ; 18 cm."]
[null,null,"Disciplina",null,"823.8"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"3.","Record Nr.",null,"UNISALENTO991000398079707536"]
[null,null,"Autore",null,"Istituto per la ricerca sociale"]
[null,null,"Titolo",null,"Rapporto IRS sul mercato azionario 1997 / IRS, Istituto per la ricerca sociale"]
[null,null,"Pubbl/distr/stampa",null,"Milano : Il sole-24 ore libri, 1997"]
[null,null,"Descrizione fisica",null,"270 p. ; 24 cm"]
[null,null,"Collana",null,"Studi"]
[null,null,"Disciplina",null,"332.6424"]
[null,null,"Soggetti",null,"Borse - Italia"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"4.","Record Nr.",null,"UNINA9910564683103321"]
[null,null,"Titolo",null,"Fundamentals of the shoulder / / edited by Gazi Huri, Mustafa Özkan, Kerem Bilsel"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2022]"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"3-030-94702-5"]
[null,null,"Descrizione fisica",null,"1 online resource (285 pages)"]
[null,null,"Disciplina",null,"617.572"]
[null,null,"Soggetti",null,"Shoulder - Surgery"]
[{"$nulls":4},"Shoulder Injuries - surgery"]
[{"$nulls":4},"Shoulder Injuries - diagnosis"]
[{"$nulls":4},"Orthopedic Procedures - methods"]
[{"$nulls":4},"Shoulder - physiology"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Part I: Shoulder basic science & principles -- 1. Shoulder embryology and anatomy -- 2. Molecular biology and Genetics in Shoulder pathologies -- 3. Animal models for research on shoulder pathologies -- 4. Shoulder Kinematics and Biomechanics -- 5. Pathomechanics and mathematics of anterior shoulder instability -- 6. Pathomechanics in CTA and rationale of RSA -- 7. Rationale of tendon to bone healing -- Part II: Diagnosis of shoulder conditions -- 8. Physical examination for glenohumeral joint pathologies -- 9. Physical examination for subacromial and acromioclavicular pathologies -- 10. Radiological assessment of the shoulder -- Part III: Shoulder pathologic conditions -- 11. Shoulder cartilage and osteoarthritis -- 12. Inflammatory, metabolic and neuromuscular pathologies in shoulder joint -- 13. Nerve entrapment around shoulder joint -- 14. Fractures around shoulder -- Part IV: Shoulder surgety and complications -- 15. Positioning, anaesthesia and analgesia in shoulder surgery -- 16. Surgical exposures -- 17. Basic arthroscopy portals of shoulder -- 18. Thromboembolism and bleeding control in shoulder surgery -- 19. Periprosthetic infection in shoulder surgery -- Part V: (Bio)technological applications in shoulder treatment -- 20. Implants and biomaterials -- 21. Tissue Engineering and graft options -- 22. 3D printing in shoulder surgery -- 23. Digitized Shoulder."]