Artificial intelligence and data mining in healthcare / / Malek Masmoudi, Bassem Jarboui, Patrick Siarry, editors |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (XIX, 195 p. 62 illus., 39 illus. in color.) |
Disciplina | 006.3 |
Soggetto topico |
Artificial intelligence
Computational intelligence Health services administration |
ISBN | 3-030-45240-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Artificial Intelligence for Healthcare Logistics: An Overview and Research Agenda -- Synergy Between Predictive Mining and Prescriptive Planning of Complex Patient Pathways Considering Process Discrepancies for Effective Hospital-Wide Decision Support -- Real-Time Capacity Management and Patient Flow Optimization in Hospitals Using AI Methods -- How Healthcare Expenditure Influences Life Expectancy: Case Study on Russian Regions -- Operating Theater Management System: Block-Scheduling -- An Immune Memory and a Negative Selection to Visualize Clinical Pathways from Electronic Health Records -- Optimized Medical Images Compression for Telemedicine Applications -- Online Variational Learning Using Finite Generalized Inverted Dirichlet Mixture Model with Feature Selection on Medical Data Sets -- Entropy-Based Variational Inference for Semi-bounded Data Clustering in Medical Applications. |
Record Nr. | UNINA-9910484525103321 |
Cham, Switzerland : , : Springer, , [2021] | ||
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Lo trovi qui: Univ. Federico II | ||
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Artificial intelligence and data mining in healthcare / / Malek Masmoudi, Bassem Jarboui, Patrick Siarry, editors |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (XIX, 195 p. 62 illus., 39 illus. in color.) |
Disciplina | 006.3 |
Soggetto topico |
Artificial intelligence
Computational intelligence Health services administration |
ISBN | 3-030-45240-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Artificial Intelligence for Healthcare Logistics: An Overview and Research Agenda -- Synergy Between Predictive Mining and Prescriptive Planning of Complex Patient Pathways Considering Process Discrepancies for Effective Hospital-Wide Decision Support -- Real-Time Capacity Management and Patient Flow Optimization in Hospitals Using AI Methods -- How Healthcare Expenditure Influences Life Expectancy: Case Study on Russian Regions -- Operating Theater Management System: Block-Scheduling -- An Immune Memory and a Negative Selection to Visualize Clinical Pathways from Electronic Health Records -- Optimized Medical Images Compression for Telemedicine Applications -- Online Variational Learning Using Finite Generalized Inverted Dirichlet Mixture Model with Feature Selection on Medical Data Sets -- Entropy-Based Variational Inference for Semi-bounded Data Clustering in Medical Applications. |
Record Nr. | UNISA-996464502603316 |
Cham, Switzerland : , : Springer, , [2021] | ||
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Lo trovi qui: Univ. di Salerno | ||
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Green transportation and new advances in vehicle routing problems / / Houda Derbel, Bassem Jarboui, Patrick Siarry, editors |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
Descrizione fisica | 1 online resource (XIV, 228 p. 45 illus., 36 illus. in color.) |
Disciplina | 388.049 |
Soggetto topico |
Transportation - Environmental aspects
Vehicle routing problem |
ISBN | 3-030-45312-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | New Advances in Vehicle Routing Problems: A Literature Review to Explore the Future -- A Robust Optimization for a Home Healthcare Routing and Scheduling Problem Considering Greenhouse Gas Emissions and Stochastic Travel and Service Times -- A Skewed General Variable Neighborhood Search Approach for Solving the Battery Swap Station Location-Routing Problem with Capacitated Electric Vehicles -- The Cumulative Capacitated Vehicle Routing Problem Including Priority Indexes -- Solution of a Real-Life Vehicle Routing Problem with Meal Breaks and Shifts -- A Decomposition-Based Heuristic for a Waste Cooking Oil Collection Problem -- Time Dependent Green Vehicle Routing Problem -- Recent Developments in Real-Life Vehicle Routing Problem Applications. |
Record Nr. | UNINA-9910447243803321 |
Cham, Switzerland : , : Springer, , [2020] | ||
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Lo trovi qui: Univ. Federico II | ||
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Green transportation and new advances in vehicle routing problems / / Houda Derbel, Bassem Jarboui, Patrick Siarry, editors |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
Descrizione fisica | 1 online resource (XIV, 228 p. 45 illus., 36 illus. in color.) |
Disciplina | 388.049 |
Soggetto topico |
Transportation - Environmental aspects
Vehicle routing problem |
ISBN | 3-030-45312-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | New Advances in Vehicle Routing Problems: A Literature Review to Explore the Future -- A Robust Optimization for a Home Healthcare Routing and Scheduling Problem Considering Greenhouse Gas Emissions and Stochastic Travel and Service Times -- A Skewed General Variable Neighborhood Search Approach for Solving the Battery Swap Station Location-Routing Problem with Capacitated Electric Vehicles -- The Cumulative Capacitated Vehicle Routing Problem Including Priority Indexes -- Solution of a Real-Life Vehicle Routing Problem with Meal Breaks and Shifts -- A Decomposition-Based Heuristic for a Waste Cooking Oil Collection Problem -- Time Dependent Green Vehicle Routing Problem -- Recent Developments in Real-Life Vehicle Routing Problem Applications. |
Record Nr. | UNISA-996465466303316 |
Cham, Switzerland : , : Springer, , [2020] | ||
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Lo trovi qui: Univ. di Salerno | ||
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Metaheuristics for Machine Learning : New Advances and Tools / / Mansour Eddaly, Bassem Jarboui, and Patrick Siarry, editors |
Edizione | [First edition.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore Pte Ltd., , [2023] |
Descrizione fisica | 1 online resource (231 pages) |
Disciplina | 006.31 |
Collana | Computational Intelligence Methods and Applications Series |
Soggetto topico |
Machine learning
Metaheuristics |
ISBN | 981-19-3888-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. From metaheuristics to automatic programming -- 2. Biclustering Algorithms Based on Metaheuristics: A Review -- 3. A Metaheuristic Perspective on Learning Classifier Systems -- 4. An evolutionary clustering approach using metaheuristics and unsupervised machine learning algorithms for customer segmentation -- 5. Applications of Metaheuristics in Parameter Optimization in Manufacturing Processes and Machine Health Monitoring -- 6. Evolving Machine Learning-based classifiers by metaheuristic approaches for underwater sonar target detection and recognition -- 7. Solving the Quadratic Knapsack Problem using a GRASP algorithm based on a multi-swap local search -- 8. Algorithmic vs Processing Manipulations to Scale Genetic Programming to Big Data Mining -- 9. Dynamic assignment problem of parking slots. |
Record Nr. | UNINA-9910682599103321 |
Singapore : , : Springer Nature Singapore Pte Ltd., , [2023] | ||
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Lo trovi qui: Univ. Federico II | ||
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Metaheuristics for Machine Learning : New Advances and Tools / / Mansour Eddaly, Bassem Jarboui, and Patrick Siarry, editors |
Edizione | [First edition.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore Pte Ltd., , [2023] |
Descrizione fisica | 1 online resource (231 pages) |
Disciplina | 006.31 |
Collana | Computational Intelligence Methods and Applications Series |
Soggetto topico |
Machine learning
Metaheuristics |
ISBN | 981-19-3888-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. From metaheuristics to automatic programming -- 2. Biclustering Algorithms Based on Metaheuristics: A Review -- 3. A Metaheuristic Perspective on Learning Classifier Systems -- 4. An evolutionary clustering approach using metaheuristics and unsupervised machine learning algorithms for customer segmentation -- 5. Applications of Metaheuristics in Parameter Optimization in Manufacturing Processes and Machine Health Monitoring -- 6. Evolving Machine Learning-based classifiers by metaheuristic approaches for underwater sonar target detection and recognition -- 7. Solving the Quadratic Knapsack Problem using a GRASP algorithm based on a multi-swap local search -- 8. Algorithmic vs Processing Manipulations to Scale Genetic Programming to Big Data Mining -- 9. Dynamic assignment problem of parking slots. |
Record Nr. | UNISA-996546833503316 |
Singapore : , : Springer Nature Singapore Pte Ltd., , [2023] | ||
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Lo trovi qui: Univ. di Salerno | ||
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Metaheuristics for production scheduling [[electronic resource] /] / edited by Bassem Jarboui, Patrick Siarry, Jacques Teghem ; series editor, Jean-Paul Bourrières |
Pubbl/distr/stampa | London, : ISTE |
Descrizione fisica | 1 online resource (529 p.) |
Disciplina | 670 |
Altri autori (Persone) |
JarbouiBassem
SiarryPatrick TeghemJacques BourrieresJean-Paul |
Collana | Automation-control and industrial engineering series |
Soggetto topico |
Production scheduling - Data processing
Production scheduling - Computer programs |
ISBN |
1-118-73159-X
1-118-73156-5 1-118-73155-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title Page; Contents; Introduction and Presentation; Chapter 1. An Estimation of Distribution Algorithm for SolvingFlow Shop Scheduling Problems with Sequence-dependent FamilySetup Times; 1.1. Introduction; 1.2. Mathematical formulation; 1.3. Estimation of distribution algorithms; 1.3.1. Estimation of distribution algorithms proposed in the literature; 1.4. The proposed estimation of distribution algorithm; 1.4.1. Encoding scheme and initial population; 1.4.2. Selection; 1.4.3. Probability estimation; 1.5. Iterated local search algorithm; 1.6. Experimental results; 1.7. Conclusion
1.8. BibliographyChapter 2. Genetic Algorithms for Solving Flexible Job ShopScheduling Problems; 2.1. Introduction; 2.2. Flexible job shop scheduling problems; 2.3. Genetic algorithms for some related sub-problems; 2.4. Genetic algorithms for the flexible job shop problem; 2.4.1. Codings; 2.4.2. Mutation operators; 2.4.3. Crossover operators; 2.5. Comparison of codings; 2.6. Conclusion; 2.7. Bibliography; Chapter 3. A Hybrid GRASP-Differential Evolution Algorithmfor Solving Flow Shop Scheduling Problemswith No-Wait Constraints; 3.1. Introduction; 3.2. Overview of the literature 3.2.1. Single-solution metaheuristics3.2.2. Population-based metaheuristics; 3.2.3. Hybrid approaches; 3.3. Description of the problem; 3.4. GRASP; 3.5. Differential evolution; 3.6. Iterative local search; 3.7. Overview of the NEW-GRASP-DE algorithm; 3.7.1. Constructive phase; 3.7.2. Improvement phase; 3.8. Experimental results; 3.8.1. Experimental results for the Reeves and Heller instances; 3.8.2. Experimental results for the Taillard instances; 3.9. Conclusion; 3.10. Bibliography Chapter 4. A Comparison of Local Search Metaheuristicsfor a Hierarchical Flow Shop Optimization Problemwith Time Lags4.1. Introduction; 4.2. Description of the problem; 4.2.1. Flowshop with time lags; 4.2.2. A bicriteria hierarchical flow shop problem; 4.3. The proposed metaheuristics; 4.3.1. A simulated annealing metaheuristics; 4.3.2. The GRASP metaheuristics; 4.4. Tests; 4.4.1. Generated instances; 4.4.2. Comparison of the results; 4.5. Conclusion; 4.6. Bibliography; Chapter 5. Neutrality in Flow Shop Scheduling Problems:Landscape Structure and Local Search; 5.1. Introduction 5.2. Neutrality in a combinatorial optimization problem5.2.1. Landscape in a combinatorial optimization problem; 5.2.2. Neutrality and landscape; 5.3. Study of neutrality in the flow shop problem; 5.3.1. Neutral degree; 5.3.2. Structure of the neutral landscape; 5.4. Local search exploiting neutrality to solve the flow shop problem; 5.4.1. Neutrality-based iterated local search; 5.4.2. NILS on the flow shop problem; 5.5. Conclusion; 5.6. Bibliography; Chapter 6. Evolutionary Metaheuristic Based on GeneticAlgorithm: Application to Hybrid Flow Shop Problemwith Availability Constraints 6.1. Introduction |
Record Nr. | UNINA-9910139244703321 |
London, : ISTE | ||
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Lo trovi qui: Univ. Federico II | ||
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Metaheuristics for production scheduling [[electronic resource] /] / edited by Bassem Jarboui, Patrick Siarry, Jacques Teghem ; series editor, Jean-Paul Bourrières |
Edizione | [1st ed.] |
Pubbl/distr/stampa | London, : ISTE |
Descrizione fisica | 1 online resource (529 p.) |
Disciplina | 670 |
Altri autori (Persone) |
JarbouiBassem
SiarryPatrick TeghemJacques BourrieresJean-Paul |
Collana | Automation-control and industrial engineering series |
Soggetto topico |
Production scheduling - Data processing
Production scheduling - Computer programs |
ISBN |
1-118-73159-X
1-118-73156-5 1-118-73155-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title Page; Contents; Introduction and Presentation; Chapter 1. An Estimation of Distribution Algorithm for SolvingFlow Shop Scheduling Problems with Sequence-dependent FamilySetup Times; 1.1. Introduction; 1.2. Mathematical formulation; 1.3. Estimation of distribution algorithms; 1.3.1. Estimation of distribution algorithms proposed in the literature; 1.4. The proposed estimation of distribution algorithm; 1.4.1. Encoding scheme and initial population; 1.4.2. Selection; 1.4.3. Probability estimation; 1.5. Iterated local search algorithm; 1.6. Experimental results; 1.7. Conclusion
1.8. BibliographyChapter 2. Genetic Algorithms for Solving Flexible Job ShopScheduling Problems; 2.1. Introduction; 2.2. Flexible job shop scheduling problems; 2.3. Genetic algorithms for some related sub-problems; 2.4. Genetic algorithms for the flexible job shop problem; 2.4.1. Codings; 2.4.2. Mutation operators; 2.4.3. Crossover operators; 2.5. Comparison of codings; 2.6. Conclusion; 2.7. Bibliography; Chapter 3. A Hybrid GRASP-Differential Evolution Algorithmfor Solving Flow Shop Scheduling Problemswith No-Wait Constraints; 3.1. Introduction; 3.2. Overview of the literature 3.2.1. Single-solution metaheuristics3.2.2. Population-based metaheuristics; 3.2.3. Hybrid approaches; 3.3. Description of the problem; 3.4. GRASP; 3.5. Differential evolution; 3.6. Iterative local search; 3.7. Overview of the NEW-GRASP-DE algorithm; 3.7.1. Constructive phase; 3.7.2. Improvement phase; 3.8. Experimental results; 3.8.1. Experimental results for the Reeves and Heller instances; 3.8.2. Experimental results for the Taillard instances; 3.9. Conclusion; 3.10. Bibliography Chapter 4. A Comparison of Local Search Metaheuristicsfor a Hierarchical Flow Shop Optimization Problemwith Time Lags4.1. Introduction; 4.2. Description of the problem; 4.2.1. Flowshop with time lags; 4.2.2. A bicriteria hierarchical flow shop problem; 4.3. The proposed metaheuristics; 4.3.1. A simulated annealing metaheuristics; 4.3.2. The GRASP metaheuristics; 4.4. Tests; 4.4.1. Generated instances; 4.4.2. Comparison of the results; 4.5. Conclusion; 4.6. Bibliography; Chapter 5. Neutrality in Flow Shop Scheduling Problems:Landscape Structure and Local Search; 5.1. Introduction 5.2. Neutrality in a combinatorial optimization problem5.2.1. Landscape in a combinatorial optimization problem; 5.2.2. Neutrality and landscape; 5.3. Study of neutrality in the flow shop problem; 5.3.1. Neutral degree; 5.3.2. Structure of the neutral landscape; 5.4. Local search exploiting neutrality to solve the flow shop problem; 5.4.1. Neutrality-based iterated local search; 5.4.2. NILS on the flow shop problem; 5.5. Conclusion; 5.6. Bibliography; Chapter 6. Evolutionary Metaheuristic Based on GeneticAlgorithm: Application to Hybrid Flow Shop Problemwith Availability Constraints 6.1. Introduction |
Record Nr. | UNINA-9910818726303321 |
London, : ISTE | ||
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Lo trovi qui: Univ. Federico II | ||
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Modeling and optimization in green logistics / / edited by Houda Derbel, Bassem Jarboui, Patrick Siarry |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
Descrizione fisica | 1 online resource (XIV, 168 p. 36 illus., 32 illus. in color.) |
Disciplina | 006.3 |
Soggetto topico |
Transportation problems (Programming)
Vehicle routing problem |
ISBN | 3-030-45308-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | The Green-Vehicle Routing Problem: A Survey -- An Integrated Location-Inventory Routing Problem for ATMs in Banking Industry: A Green Approach -- Modelling a Future Routing Concept for Urban Air Mobility -- Putting the SC in SCORE: Solar Car Optimized Route Estimation and Smart Cities -- Evaluation and Prioritisation of Green Logistics and Transportation Practices Used in the Freight Transport Industry -- A Novel Hybrid Multi-objective Optimization Approach for Sustainable Delivery Systems with A Case Study in Izmir -- When Green Technology Meets Optimization Modelling: The Case of Routing Drones in Logistics, Agriculture and Healthcare -- Routing Electric Vehicles with Remote Servicing. |
Record Nr. | UNINA-9910447244803321 |
Cham, Switzerland : , : Springer, , [2020] | ||
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Lo trovi qui: Univ. Federico II | ||
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Modeling and optimization in green logistics / / edited by Houda Derbel, Bassem Jarboui, Patrick Siarry |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
Descrizione fisica | 1 online resource (XIV, 168 p. 36 illus., 32 illus. in color.) |
Disciplina | 006.3 |
Soggetto topico |
Transportation problems (Programming)
Vehicle routing problem |
ISBN | 3-030-45308-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | The Green-Vehicle Routing Problem: A Survey -- An Integrated Location-Inventory Routing Problem for ATMs in Banking Industry: A Green Approach -- Modelling a Future Routing Concept for Urban Air Mobility -- Putting the SC in SCORE: Solar Car Optimized Route Estimation and Smart Cities -- Evaluation and Prioritisation of Green Logistics and Transportation Practices Used in the Freight Transport Industry -- A Novel Hybrid Multi-objective Optimization Approach for Sustainable Delivery Systems with A Case Study in Izmir -- When Green Technology Meets Optimization Modelling: The Case of Routing Drones in Logistics, Agriculture and Healthcare -- Routing Electric Vehicles with Remote Servicing. |
Record Nr. | UNISA-996465456103316 |
Cham, Switzerland : , : Springer, , [2020] | ||
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Lo trovi qui: Univ. di Salerno | ||
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