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Advances in data science and analytics : concepts and paradigms / / edited by M. Niranjanamurthy, Hemant Kumar Gianey, and Amir H. Gandomi
| Advances in data science and analytics : concepts and paradigms / / edited by M. Niranjanamurthy, Hemant Kumar Gianey, and Amir H. Gandomi |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Incorporated, , [2023] |
| Descrizione fisica | 1 online resource (353 pages) |
| Disciplina | 006.312 |
| Soggetto topico |
Big data
Data mining |
| ISBN |
1-119-79282-7
1-119-79281-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910677971203321 |
| Hoboken, New Jersey : , : John Wiley & Sons, Incorporated, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Evolutionary computation in scheduling / / edited by Amir H. Gandomi [and four others]
| Evolutionary computation in scheduling / / edited by Amir H. Gandomi [and four others] |
| Pubbl/distr/stampa | Hoboken, NJ : , : John Wiley & Sons, Inc., , [2020] |
| Descrizione fisica | 1 online resource (408 pages) |
| Disciplina | 519.3 |
| Soggetto topico |
Mathematical optimization - Computer programs
Scheduling - Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-57386-6
1-119-57387-4 1-119-57429-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910554857703321 |
| Hoboken, NJ : , : John Wiley & Sons, Inc., , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Evolutionary computation in scheduling / / edited by Amir H. Gandomi [and four others]
| Evolutionary computation in scheduling / / edited by Amir H. Gandomi [and four others] |
| Pubbl/distr/stampa | Hoboken, NJ : , : John Wiley & Sons, Inc., , [2020] |
| Descrizione fisica | 1 online resource (408 pages) |
| Disciplina | 519.3 |
| Soggetto topico |
Mathematical optimization - Computer programs
Scheduling - Mathematical models |
| ISBN |
1-119-57386-6
1-119-57387-4 1-119-57429-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Evolutionary computation in scheduling : a scientometric analysis / Amir H. Gandomi, Ali Emrouznejad, Iman Rahimi -- Role and impacts of ant colony optimization in job shop scheduling problems : a detail analysis / P.Deepalakshmi, K. Shankar -- Advanced ant colony optimization in healthcare scheduling / Reza Behmanesh, Iman Rahimi, Mostafa Zandieh, Amir H. Gandomi -- Task scheduling in heterogeneous computing systems using swarm intelligence / S Sarathambekai, K Umamaheswari -- Computationally efficient scheduling schemes for multiple antenna systems using evolutionary algorithm and swarm optimization / Prabina Pattanayak, Preetam Kumar -- An efficient modified red deer algorithm to solve a truck scheduling problem considering time windows and deadline for trucks' departure / Amir Mohammad Fathollahi-Fard, Abbas Ahmadi, Mohsen S. Sajadieh -- Application of sub-population scheduling algorithm in multi-population evolutionary dynamic optimization / Javidan Kazemi Kordestani, Mohammad Reza Meybodi -- Task scheduling in cloud environments : a survey on population-based evolutionary algorithms / Fahimeh Ramezani, Mohsen Naderpour, Javid Taheri, Jack Romanous, Albert Y. Zomaya -- Scheduling of robotic disassembly in remanufacturing using bees algorithm / Jiayi Liu, Wenjun Xu, Zude Zhou, Duc Truong Pham -- A modified fireworks algorithm to solve the heat and power generation scheduling problem in power system studies / Mohammad Sadegh Javadi, Ali Esmaeel Nezhad, Seyed-Ehsan Razavi, Abdollah Ahmadi, João P.S. Catalão. |
| Record Nr. | UNINA-9910830011903321 |
| Hoboken, NJ : , : John Wiley & Sons, Inc., , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Handbook of Formal Optimization / / edited by Anand J. Kulkarni, Amir H. Gandomi
| Handbook of Formal Optimization / / edited by Anand J. Kulkarni, Amir H. Gandomi |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (1406 pages) |
| Disciplina | 519.3 |
| Collana | Intelligent Technologies and Robotics Series |
| Soggetto topico |
Computational intelligence
Mathematical optimization Artificial intelligence Operations research Computational Intelligence Optimization Artificial Intelligence Operations Research and Decision Theory |
| ISBN |
9789819738205
9819738202 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Robust Optimization of Discontinuous Loss Functions -- Robust Conjugate Gradient Methods for Non-smooth Convex Optimization and Image Processing Problems -- Solving Cropping Pattern Optimization Problems Using Robust Positive Mathematical Programming -- Optimal Allocation of Groundwater Resources in the Agricultural Sector Under Restrictive Policies on Groundwater Extraction -- Incorporating Nelder-Mead Simplex as an Accelerating Operator to Improve the Performance of Metaheuristics in Nonlinear System Identification -- A Discrete Cuckoo Search Algorithm for the Cumulative Capacitated Vehicle Routing Problem -- Commonly Used Static and Dynamic Single-Objective Optimization Benchmark Problems -- Evolutionary Multi-objective Optimization of Hyperparameters for Decision Support in Healthcare -- Combination of Cooperative Grouper Fish -- Octopus Algorithm and DBSCAN to Automatic Clustering -- Multi-population Evolutionary and Swarm Intelligence Dynamic Optimization Algorithms: A Survey -- Solving Vehicle Routing Problem Using a Hybridization of Gain-Based Ant Colony Optimization and Firefly Algorithms -- Impact of Local Search in the Memetic Particle Swarm Optimization -- Salp Swarm Algorithm for Optimization of Shallow Foundations -- Boosting the Efficiency of Metaheuristics Through Opposition-Based Learning in Optimum Locating of Control Systems in Tall Buildings -- Memory-Driven Metaheuristics: Improving Optimization Performance -- Synergistic Collaboration of Motion-Based Metaheuristics for the Strength Prediction of Cement-Based Mortar Materials Using TSK Model -- Positron-Enabled Atomic Orbital Search Algorithm for Improved Reliability-Based Design Optimization -- Steganography Based on Fuzzy Edge Detection, Cohort Intelligence and Thresholding -- Classification of Emotions in Ambient Assisted Living Environment using Machine Learning Approaches -- Optimization and Machine Learning Algorithms for Intelligent Microwave Sensing: A Review -- Machine Learning Algorithms for Autonomous Vehicles -- High-Resolution Remote Sensing Image Classification with Kernel Linear Discriminant Analysis -- Neural Networks and Deep Learning -- Deep Learning in Stock Market: Techniques, Purpose, and Challenges -- DNN Approach to Obtain BER vs SNR for Spatial Modulation System -- Steel Plate Fault Detection Using the Fitness-Dependent Optimizer and Neural Networks -- Dynamic Intelligence of Self-Organized Map in the Frequency-Based Optimum Design of Structures -- Combination of Bagging and Neural Network for Improving Precipitation Estimates Using Remote Sensing Data -- Robust Optimization of PTO Settings for Point Absorber Wave Energy Converter -- T-adaptive an Online Tuning Technique Coupled to MOEA/D Algorithm: A Comparative Analysis with Offline Parameter Tuning Techniques -- Cohort Intelligence-based Multi-objective Optimizer -- Deep Learning for Solving Loading, Packing, Routing, and Scheduling Problems -- Solving the Pallet Loading Problem with Deep Reinforcement Learning -- A Variant of Parallel-Hybrid Genetic Algorithm for Large-Scale Traveling Salesman Problem -- Variable Neighborhood Search for Cost Function Networks -- Competitive Game Table and the Optimization Algorithm -- A Comprehensive Review of Goal Programming Problems and Constraint Handling Approaches -- A Comprehensive Review of Patient Scheduling Techniques with Uncertainty -- Solving the 0-1 Knapsack Problem using LAB Algorithm -- Genetic Algorithms and Applications -- Multi-objective Genetic Algorithms -- Bilinear Fuzzy Genetic Algorithm and Its Application on the Optimum Design of Steel Structures with Semi-rigid Connections -- Variants of the Genetic Algorithm on Load Frequency Control Application -- Explaining Optimisation of Offshore Wind Farms Using Metaheuristics -- Optimization of Concrete Chimneys Considering Random Underground Blast and Temperature Effects -- Gear Material Selection Using an Integrated PSI-MOORA Method -- Heuristics: An Overview -- A Brief Review of Bilevel Optimization Techniques and Their Applications -- Mastering the Cosmos: Leveraging Optimization Methods for Advances in Space Exploration -- Solving the Total Weighted Earliness Tardiness Blocking Flowshop Scheduling Problem -- Solving Multiple Traveling Salesmen Problem Using Prim’s and Dijkstra’s Algorithms: A Case Study on Emergency Medical Supplies -- Mechanical Machining Process Optimization -- Energy-Efficient Manufacturing Scheduling: A Systematic Literature Review -- A Socio-Physics-Based Hybrid Metaheuristic for Solving Complex Non-convex Constrained Optimization Problems -- Overcoming Constraints: The Critical Role of Penalty Functions as Constraint-Handling Methods in Structural Optimization. |
| Record Nr. | UNINA-9910874666603321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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