• Produktbild: Applications of Evolutionary Computation
  • Produktbild: Applications of Evolutionary Computation
Band 15612

Applications of Evolutionary Computation 28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings, Part I

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.04.2025

Abbildungen

XXII, 576 p. 189 illus., 170 illus. in color.

Herausgeber

Pablo García-Sánchez + weitere

Verlag

Springer

Seitenzahl

576

Maße (L/B/H)

23,5/15,5/3,3 cm

Gewicht

896 g

Sprache

Englisch

ISBN

978-3-031-90061-7

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.04.2025

Abbildungen

XXII, 576 p. 189 illus., 170 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

576

Maße (L/B/H)

23,5/15,5/3,3 cm

Gewicht

896 g

Sprache

Englisch

ISBN

978-3-031-90061-7

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Applications of Evolutionary Computation
  • Produktbild: Applications of Evolutionary Computation

  • .- 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.