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  • Produktbild: Applications of Evolutionary Computation
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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 I

Aus der Reihe Lecture Notes in Computer Science

78,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.04.2025

Abbildungen

XXII, 189 illus., 170 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

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, 189 illus., 170 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

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: GPSR Kontakt

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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.