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Applications of Evolutionary Computation : 28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings, Part II / / edited by Pablo García-Sánchez, Emma Hart, Sarah L. Thomson
| Applications of Evolutionary Computation : 28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings, Part II / / edited by Pablo García-Sánchez, Emma Hart, Sarah L. Thomson |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XXII, 560 p. 160 illus., 136 illus. in color.) |
| Disciplina | 004.0151 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Computers Computer networks Computers, Special purpose Computer systems Computer science - Mathematics Theory of Computation Computing Milieux Computer Communication Networks Special Purpose and Application-Based Systems Computer System Implementation Mathematics of Computing |
| ISBN | 3-031-90065-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Evolutionary machine learning. -- Social Interpretable Reinforcement Learning. -- Into the Black Box: Mining Variable Importance with XAI. -- Evolving RNNs for Stock Forecasting: A Low Parameter Efficient Alternative to Transformers. -- Generate more than one child in your co-evolutionary semi-supervised learning GAN. -- EDCA – An Evolutionary Data-Centric AutoML Framework for Efficient Pipelines. -- 30 years of particle swarm optimisation. -- Proposal of Efficient Particle Swarm Optimization for Constrained Optimization Problems. -- A Survey of Modern Hybrid Particle Swarm Optimization Algorithms. -- An Investigation of Structural Bias in Particle Swarm Optimization. -- GPSO in PTO. -- We are Sending you Back... to the Optimum! Fuzzy Time Travel Particle Swarm Optimization. -- Memetic Variations of Overlapping Swarm Intelligence. -- Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications. -- Multi-Tree Genetic Programming for Large-scale Dynamic Tugboat Scheduling. -- Bio-inspired Algorithms for Green Computing and Sustainable Complex Systems. -- Hybridization of techniques based on Genetic Algorithms and Neural Networks to determine the water requirements of fig trees. -- Evaluating the Impact of Hysteretic Phenomena and Implementation Choices on Energy Consumption in Evolutionary Algorithms. -- Measuring energy consumption of BBOB fitness functions. -- Computational Intelligence for Sustainability. -- A PSO-based MPPT with Dynamic Monitoring Reset for PV Systems. -- An innovative approach for managing the water requirements of fig trees using artificial intelligence. -- GPBus: Genetic Programming based Automated Machine Learning for Bus Delay Prediction. -- Improving Fairness in Allocation of Emergency Medical Services using Multi-Objective Evolutionary Optimization. -- A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways. -- EvoLLMs (Integrating Evolutionary Computing with Large Language Models (LLMs). -- Evolutionary Bias Identification with Embeddings. -- Probing LLMs on Optimization Problems: Can They Recall and Interpret Problem Features?. -- Open and Closed-source Models for LLM-generated Metaheuristics Solving Engineering Optimization Problem. -- Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing. -- Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms. -- Evolutionary Computation in Edge, Fog, and Cloud Computing. -- A Communication-aware and Energy-efficient Genetic Programming based Method for Dynamic Resource Allocation in Clouds. -- A Genetic Algorithm-Based Parameter Selection for Communication Efficient Federated Learning. -- Evolutionary Computation in Image Analysis, Signal Processing, and Pattern Recognition. -- Evolving Cellular Automata with Function-Based Conditional Rules for Image Filtering. -- Machine Learning and AI in Digital Healthcare and Personalized Medicine. -- Addressing Radiotherapy Scheduling with a Bin Packing Problem Formulation: A Comparative Study of Exact Solvers and Genetic Algorithms. -- A Symbolic Regression Screening Approach within Peptide Optimisation. -- Estimation of total body fat using symbolic regression and evolutionary algorithms. -- Soft Computing Applied to Games. -- Injecting Combinatorial Optimization into MCTS: Application to the Board Game boop. -- Robust search for the underlying objectives in black-box games with binary outcomes. |
| Record Nr. | UNINA-9910999785303321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applications of Evolutionary Computation : 28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings, Part I / / edited by Pablo García-Sánchez, Emma Hart, Sarah L. Thomson
| Applications of Evolutionary Computation : 28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings, Part I / / edited by Pablo García-Sánchez, Emma Hart, Sarah L. Thomson |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XXII, 576 p. 189 illus., 170 illus. in color.) |
| Disciplina | 004.0151 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Computers Computer networks Computers, Special purpose Computer systems Computer science - Mathematics Theory of Computation Computing Milieux Computer Communication Networks Special Purpose and Application-Based Systems Computer System Implementation Mathematics of Computing |
| ISBN | 3-031-90062-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- EvoApplications. -- Optimizing Dietary Plans Using Evolutionary Algorithms. -- Building Cross-Sectional Trading Strategies via Geometric Semantic Genetic Programming. -- Adjacent Distance Matrix-based Competitive Swarm Optimizer. -- The More the Merrier: On Evolving Five-valued Spectra Boolean Functions. -- Search Trajectory Networks Applied to a Real-world Parallel Batch Scheduling Problem. -- Optimizing the logistics operations of distribution network operators from a multinational electric utility company. -- Analysis of Illicit Drug Mixtures at Festivals Using Portable Near-Infrared Spectroscopy with Genetic Programming. -- Hybrid Optimization of Horizontal Alignments in European Terrains: A Comparative Study. -- Facial Geometric Feature Extraction for Dimensional Emotion Analysis Using Genetic Programming. -- Methodology for Designing Injection Molds: Data Mining and Multi-Objective Optimization. -- Climbing the tower of meta-mutations - the role of higher-order mutations. -- Evolutionary Reinforcement Learning for Interpretable Decision-Making in Supply Chain Management. -- Grammatical Feature Construction for Enhanced Interpretability in Breast Cancer Classification. -- Designing Hardware-Friendly Hash Functions for Network Security Using Cartesian Genetic Programming. -- Understanding trade-offs in classifier bias with quality-diversity optimization: an application to talent management. -- Genetic Programming with Co-operative Co-evolution for Feature Manipulation in Basal Cell Carcinoma Identification. -- Multi-Objective Evolutionary Optimization of Virtualized Fast Feedforward Networks. -- Variable-Size Genetic Network Programming for Portfolio Optimization with Trading Rules. -- Evolving Dynamic Fault Mitigation Strategies in a Robot Swarm for Collective Transport. -- Inferring Reaction Elasticities from Metabolic Correlations in Cells through Multi-objective Evolutionary Optimization. -- Trace-Elites: better Quality-Diversity with Multi-Point Descriptors. -- Optimizing Camera Placement for Chicken Farm Monitoring. -- Adaptive Local Search for Real-World Multi-Echelon Inventory Control. -- Evolutionary Computation for Causality-Driven Feature Selection: A Preliminary Study. -- A Coach-Based Quality-Diversity Approach for Multi-Agent Interpretable Reinforcement Learning. -- FedGP: Genetic Programming for Evolutionary Aggregation in Federated Learning with Non-IID data. -- A Genetic Algorithm Approach for Aggregation of Residential Electricity Prosumers’ Flexibility. -- Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model. -- Real Application Challenges in Evolutionary Optimization? People!. -- The Importance of Being Earnest: Multiple Heterogeneous Container Loading with a Simple Genetic Algorithm. -- Emergent kin selection of altruistic feeding behaviour via non-episodic neuroevolution. -- Stalling in Space: Attractor Analysis for any Algorithm. -- Using Local Correlation Between Objectives to Detect Problem Modality. -- Greater AI Design Control Aids Evolution of Computational Materials. -- Scalable Evolution of Logically Independent Polycomputational Materials. |
| Record Nr. | UNINA-9910999672703321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applications of Evolutionary Computation : 28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings, Part I / / edited by Pablo García-Sánchez, Emma Hart, Sarah L. Thomson
| Applications of Evolutionary Computation : 28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings, Part I / / edited by Pablo García-Sánchez, Emma Hart, Sarah L. Thomson |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XXII, 576 p. 189 illus., 170 illus. in color.) |
| Disciplina | 004.0151 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Computers Computer networks Computers, Special purpose Computer systems Computer science - Mathematics Theory of Computation Computing Milieux Computer Communication Networks Special Purpose and Application-Based Systems Computer System Implementation Mathematics of Computing |
| ISBN | 3-031-90062-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- EvoApplications. -- Optimizing Dietary Plans Using Evolutionary Algorithms. -- Building Cross-Sectional Trading Strategies via Geometric Semantic Genetic Programming. -- Adjacent Distance Matrix-based Competitive Swarm Optimizer. -- The More the Merrier: On Evolving Five-valued Spectra Boolean Functions. -- Search Trajectory Networks Applied to a Real-world Parallel Batch Scheduling Problem. -- Optimizing the logistics operations of distribution network operators from a multinational electric utility company. -- Analysis of Illicit Drug Mixtures at Festivals Using Portable Near-Infrared Spectroscopy with Genetic Programming. -- Hybrid Optimization of Horizontal Alignments in European Terrains: A Comparative Study. -- Facial Geometric Feature Extraction for Dimensional Emotion Analysis Using Genetic Programming. -- Methodology for Designing Injection Molds: Data Mining and Multi-Objective Optimization. -- Climbing the tower of meta-mutations - the role of higher-order mutations. -- Evolutionary Reinforcement Learning for Interpretable Decision-Making in Supply Chain Management. -- Grammatical Feature Construction for Enhanced Interpretability in Breast Cancer Classification. -- Designing Hardware-Friendly Hash Functions for Network Security Using Cartesian Genetic Programming. -- Understanding trade-offs in classifier bias with quality-diversity optimization: an application to talent management. -- Genetic Programming with Co-operative Co-evolution for Feature Manipulation in Basal Cell Carcinoma Identification. -- Multi-Objective Evolutionary Optimization of Virtualized Fast Feedforward Networks. -- Variable-Size Genetic Network Programming for Portfolio Optimization with Trading Rules. -- Evolving Dynamic Fault Mitigation Strategies in a Robot Swarm for Collective Transport. -- Inferring Reaction Elasticities from Metabolic Correlations in Cells through Multi-objective Evolutionary Optimization. -- Trace-Elites: better Quality-Diversity with Multi-Point Descriptors. -- Optimizing Camera Placement for Chicken Farm Monitoring. -- Adaptive Local Search for Real-World Multi-Echelon Inventory Control. -- Evolutionary Computation for Causality-Driven Feature Selection: A Preliminary Study. -- A Coach-Based Quality-Diversity Approach for Multi-Agent Interpretable Reinforcement Learning. -- FedGP: Genetic Programming for Evolutionary Aggregation in Federated Learning with Non-IID data. -- A Genetic Algorithm Approach for Aggregation of Residential Electricity Prosumers’ Flexibility. -- Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model. -- Real Application Challenges in Evolutionary Optimization? People!. -- The Importance of Being Earnest: Multiple Heterogeneous Container Loading with a Simple Genetic Algorithm. -- Emergent kin selection of altruistic feeding behaviour via non-episodic neuroevolution. -- Stalling in Space: Attractor Analysis for any Algorithm. -- Using Local Correlation Between Objectives to Detect Problem Modality. -- Greater AI Design Control Aids Evolution of Computational Materials. -- Scalable Evolution of Logically Independent Polycomputational Materials. |
| Record Nr. | UNISA-996655269203316 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Applications of Evolutionary Computation : 28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings, Part II / / edited by Pablo García-Sánchez, Emma Hart, Sarah L. Thomson
| Applications of Evolutionary Computation : 28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings, Part II / / edited by Pablo García-Sánchez, Emma Hart, Sarah L. Thomson |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XXII, 560 p. 160 illus., 136 illus. in color.) |
| Disciplina | 004.0151 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Computers Computer networks Computers, Special purpose Computer systems Computer science - Mathematics Theory of Computation Computing Milieux Computer Communication Networks Special Purpose and Application-Based Systems Computer System Implementation Mathematics of Computing |
| ISBN | 3-031-90065-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Evolutionary machine learning. -- Social Interpretable Reinforcement Learning. -- Into the Black Box: Mining Variable Importance with XAI. -- Evolving RNNs for Stock Forecasting: A Low Parameter Efficient Alternative to Transformers. -- Generate more than one child in your co-evolutionary semi-supervised learning GAN. -- EDCA – An Evolutionary Data-Centric AutoML Framework for Efficient Pipelines. -- 30 years of particle swarm optimisation. -- Proposal of Efficient Particle Swarm Optimization for Constrained Optimization Problems. -- A Survey of Modern Hybrid Particle Swarm Optimization Algorithms. -- An Investigation of Structural Bias in Particle Swarm Optimization. -- GPSO in PTO. -- We are Sending you Back... to the Optimum! Fuzzy Time Travel Particle Swarm Optimization. -- Memetic Variations of Overlapping Swarm Intelligence. -- Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications. -- Multi-Tree Genetic Programming for Large-scale Dynamic Tugboat Scheduling. -- Bio-inspired Algorithms for Green Computing and Sustainable Complex Systems. -- Hybridization of techniques based on Genetic Algorithms and Neural Networks to determine the water requirements of fig trees. -- Evaluating the Impact of Hysteretic Phenomena and Implementation Choices on Energy Consumption in Evolutionary Algorithms. -- Measuring energy consumption of BBOB fitness functions. -- Computational Intelligence for Sustainability. -- A PSO-based MPPT with Dynamic Monitoring Reset for PV Systems. -- An innovative approach for managing the water requirements of fig trees using artificial intelligence. -- GPBus: Genetic Programming based Automated Machine Learning for Bus Delay Prediction. -- Improving Fairness in Allocation of Emergency Medical Services using Multi-Objective Evolutionary Optimization. -- A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways. -- EvoLLMs (Integrating Evolutionary Computing with Large Language Models (LLMs). -- Evolutionary Bias Identification with Embeddings. -- Probing LLMs on Optimization Problems: Can They Recall and Interpret Problem Features?. -- Open and Closed-source Models for LLM-generated Metaheuristics Solving Engineering Optimization Problem. -- Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing. -- Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms. -- Evolutionary Computation in Edge, Fog, and Cloud Computing. -- A Communication-aware and Energy-efficient Genetic Programming based Method for Dynamic Resource Allocation in Clouds. -- A Genetic Algorithm-Based Parameter Selection for Communication Efficient Federated Learning. -- Evolutionary Computation in Image Analysis, Signal Processing, and Pattern Recognition. -- Evolving Cellular Automata with Function-Based Conditional Rules for Image Filtering. -- Machine Learning and AI in Digital Healthcare and Personalized Medicine. -- Addressing Radiotherapy Scheduling with a Bin Packing Problem Formulation: A Comparative Study of Exact Solvers and Genetic Algorithms. -- A Symbolic Regression Screening Approach within Peptide Optimisation. -- Estimation of total body fat using symbolic regression and evolutionary algorithms. -- Soft Computing Applied to Games. -- Injecting Combinatorial Optimization into MCTS: Application to the Board Game boop. -- Robust search for the underlying objectives in black-box games with binary outcomes. |
| Record Nr. | UNISA-996655266503316 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Evolutionary Computation in Combinatorial Optimization [[electronic resource] ] : 16th European Conference, EvoCOP 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings / / edited by Francisco Chicano, Bin Hu, Pablo García-Sánchez
| Evolutionary Computation in Combinatorial Optimization [[electronic resource] ] : 16th European Conference, EvoCOP 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings / / edited by Francisco Chicano, Bin Hu, Pablo García-Sánchez |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XII, 267 p. 59 illus., 1 illus. in color.) |
| Disciplina | 519.64 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Numerical analysis
Algorithms Computer science—Mathematics Discrete mathematics Computer science Artificial intelligence Numerical Analysis Discrete Mathematics in Computer Science Theory of Computation Artificial Intelligence |
| ISBN | 3-319-30698-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Hybrid Constructive Mat-Heuristic Algorithm for The Heterogeneous Vehicle Routing Problem with Simultaneous Pick-up and Delivery -- A Property Preserving Method for Extending a Single-Objective Problem Instance to Multiple Objectives with Specific Correlations -- An Evolutionary Approach to the Full Optimization of the Traveling Thief Problem -- Construct, Merge, Solve & Adapt: Application to the Repetition-Free Longest Common Subsequence Problem -- Deconstructing the Big Valley Search Space Hypothesis -- Determining the Difficulty of Landscapes by PageRank Centrality in Local Optima Networks -- Efficient Hill Climber for Multi-Objective Pseudo-Boolean Optimization -- Evaluating Hyperheuristics and Local Search Operators for Periodic Routing Problems -- Evolutionary Algorithms for Finding Short Addition Chains: Going the Distance -- Experimental Evaluation of Two Approaches to Optimal Recombination for Permutation Problems -- Hyperplane Elimination for Quickly Enumerating Local Optima -- Limits to Learning in Reinforcement Learning Hyperheuristics -- Modifying Colourings between Time-Steps to Tackle Changes in Dynamic Random Graphs -- Particle Swarm Optimisation with Sequence-Like Indirect Representation for Web Service Composition -- Particle Swarm Optimization for Multi-Objective Web Service Location Allocation -- Sim-EDA: A Multipopulation Estimation of Distribution Algorithm Based on Problem Similarity -- Solving the Quadratic Assignment Problem with Cooperative Parallel Extremal Optimization. . |
| Record Nr. | UNISA-996466022803316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Evolutionary Computation in Combinatorial Optimization : 16th European Conference, EvoCOP 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings / / edited by Francisco Chicano, Bin Hu, Pablo García-Sánchez
| Evolutionary Computation in Combinatorial Optimization : 16th European Conference, EvoCOP 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings / / edited by Francisco Chicano, Bin Hu, Pablo García-Sánchez |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XII, 267 p. 59 illus., 1 illus. in color.) |
| Disciplina | 519.64 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Numerical analysis
Algorithms Computer science—Mathematics Discrete mathematics Computer science Artificial intelligence Numerical Analysis Discrete Mathematics in Computer Science Theory of Computation Artificial Intelligence |
| ISBN | 3-319-30698-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Hybrid Constructive Mat-Heuristic Algorithm for The Heterogeneous Vehicle Routing Problem with Simultaneous Pick-up and Delivery -- A Property Preserving Method for Extending a Single-Objective Problem Instance to Multiple Objectives with Specific Correlations -- An Evolutionary Approach to the Full Optimization of the Traveling Thief Problem -- Construct, Merge, Solve & Adapt: Application to the Repetition-Free Longest Common Subsequence Problem -- Deconstructing the Big Valley Search Space Hypothesis -- Determining the Difficulty of Landscapes by PageRank Centrality in Local Optima Networks -- Efficient Hill Climber for Multi-Objective Pseudo-Boolean Optimization -- Evaluating Hyperheuristics and Local Search Operators for Periodic Routing Problems -- Evolutionary Algorithms for Finding Short Addition Chains: Going the Distance -- Experimental Evaluation of Two Approaches to Optimal Recombination for Permutation Problems -- Hyperplane Elimination for Quickly Enumerating Local Optima -- Limits to Learning in Reinforcement Learning Hyperheuristics -- Modifying Colourings between Time-Steps to Tackle Changes in Dynamic Random Graphs -- Particle Swarm Optimisation with Sequence-Like Indirect Representation for Web Service Composition -- Particle Swarm Optimization for Multi-Objective Web Service Location Allocation -- Sim-EDA: A Multipopulation Estimation of Distribution Algorithm Based on Problem Similarity -- Solving the Quadratic Assignment Problem with Cooperative Parallel Extremal Optimization. . |
| Record Nr. | UNINA-9910483305103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Genetic Programming [[electronic resource] ] : 22nd European Conference, EuroGP 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings / / edited by Lukas Sekanina, Ting Hu, Nuno Lourenço, Hendrik Richter, Pablo García-Sánchez
| Genetic Programming [[electronic resource] ] : 22nd European Conference, EuroGP 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings / / edited by Lukas Sekanina, Ting Hu, Nuno Lourenço, Hendrik Richter, Pablo García-Sánchez |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XII, 295 p. 130 illus., 51 illus. in color.) |
| Disciplina | 006.3823 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Algorithms
Artificial intelligence Data mining Computer science—Mathematics Discrete mathematics Artificial intelligence—Data processing Pattern recognition systems Artificial Intelligence Data Mining and Knowledge Discovery Discrete Mathematics in Computer Science Data Science Automated Pattern Recognition |
| ISBN | 3-030-16670-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466571403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Genetic Programming : 22nd European Conference, EuroGP 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings / / edited by Lukas Sekanina, Ting Hu, Nuno Lourenço, Hendrik Richter, Pablo García-Sánchez
| Genetic Programming : 22nd European Conference, EuroGP 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings / / edited by Lukas Sekanina, Ting Hu, Nuno Lourenço, Hendrik Richter, Pablo García-Sánchez |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XII, 295 p. 130 illus., 51 illus. in color.) |
| Disciplina | 006.3823 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Algorithms
Artificial intelligence Data mining Computer science - Mathematics Discrete mathematics Artificial intelligence - Data processing Pattern recognition systems Artificial Intelligence Data Mining and Knowledge Discovery Discrete Mathematics in Computer Science Data Science Automated Pattern Recognition |
| ISBN |
9783030166700
3030166708 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910337848203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Genetic Programming [[electronic resource] ] : 21st European Conference, EuroGP 2018, Parma, Italy, April 4-6, 2018, Proceedings / / edited by Mauro Castelli, Lukas Sekanina, Mengjie Zhang, Stefano Cagnoni, Pablo García-Sánchez
| Genetic Programming [[electronic resource] ] : 21st European Conference, EuroGP 2018, Parma, Italy, April 4-6, 2018, Proceedings / / edited by Mauro Castelli, Lukas Sekanina, Mengjie Zhang, Stefano Cagnoni, Pablo García-Sánchez |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XII, 323 p. 80 illus.) |
| Disciplina | 006.31 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Algorithms
Computer arithmetic and logic units Artificial intelligence Data mining Data structures (Computer science) Information theory Arithmetic and Logic Structures Artificial Intelligence Data Mining and Knowledge Discovery Data Structures and Information Theory |
| ISBN | 3-319-77553-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Using GP Is NEAT: Evolving Compositional Pattern Production Functions -- Evolving the Topology of Large Scale Deep Neural Networks -- Evolving Graphs by Graph Programming -- Pruning Techniques for Mixed Ensembles of Genetic Programming Models -- Analyzing Feature Importance for Metabolomics Using Genetic Programming -- Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming -- On the Automatic Design of a Representation for Grammar-Based Genetic Programming -- Multi-Level Grammar Genetic Programming for Scheduling in Heterogeneous Networks -- Scaling Tangled Program Graphs to Visual Reinforcement Learning in ViZDoom -- Towards In Vivo Genetic Programming: Evolving Boolean Networks to Determine Cell States -- A Multiple Expression Alignment Framework for Genetic Programming -- Multi-Objective Evolution of Ultra-Fast General-Purpose Hash Functions -- A Comparative Study on Crossover in Cartesian Genetic Programming -- Evolving Better RNAfold Structure Prediction -- Geometric Crossover in Syntactic Space -- Investigating A Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling -- Structurally Layered Representation Learning: Towards Deep Learning Through Genetic Programming -- Comparing Rule Evaluation Metrics for the Evolutionary Discovery of Multi-Relational Association Rules in the Semantic Web -- Genetic Programming Hyperheuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling. . |
| Record Nr. | UNISA-996465757303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Genetic Programming : 21st European Conference, EuroGP 2018, Parma, Italy, April 4-6, 2018, Proceedings / / edited by Mauro Castelli, Lukas Sekanina, Mengjie Zhang, Stefano Cagnoni, Pablo García-Sánchez
| Genetic Programming : 21st European Conference, EuroGP 2018, Parma, Italy, April 4-6, 2018, Proceedings / / edited by Mauro Castelli, Lukas Sekanina, Mengjie Zhang, Stefano Cagnoni, Pablo García-Sánchez |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XII, 323 p. 80 illus.) |
| Disciplina | 006.31 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Algorithms
Computer arithmetic and logic units Artificial intelligence Data mining Data structures (Computer science) Information theory Arithmetic and Logic Structures Artificial Intelligence Data Mining and Knowledge Discovery Data Structures and Information Theory |
| ISBN |
9783319775531
3319775537 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Using GP Is NEAT: Evolving Compositional Pattern Production Functions -- Evolving the Topology of Large Scale Deep Neural Networks -- Evolving Graphs by Graph Programming -- Pruning Techniques for Mixed Ensembles of Genetic Programming Models -- Analyzing Feature Importance for Metabolomics Using Genetic Programming -- Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming -- On the Automatic Design of a Representation for Grammar-Based Genetic Programming -- Multi-Level Grammar Genetic Programming for Scheduling in Heterogeneous Networks -- Scaling Tangled Program Graphs to Visual Reinforcement Learning in ViZDoom -- Towards In Vivo Genetic Programming: Evolving Boolean Networks to Determine Cell States -- A Multiple Expression Alignment Framework for Genetic Programming -- Multi-Objective Evolution of Ultra-Fast General-Purpose Hash Functions -- A Comparative Study on Crossover in Cartesian Genetic Programming -- Evolving Better RNAfold Structure Prediction -- Geometric Crossover in Syntactic Space -- Investigating A Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling -- Structurally Layered Representation Learning: Towards Deep Learning Through Genetic Programming -- Comparing Rule Evaluation Metrics for the Evolutionary Discovery of Multi-Relational Association Rules in the Semantic Web -- Genetic Programming Hyperheuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling. . |
| Record Nr. | UNINA-9910349457603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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