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 | ||
| 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 | ||
| 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 | ||
| 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 | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||