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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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui