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

Author:   Pablo García-Sánchez ,  Emma Hart ,  Sarah L. Thomson
Publisher:   Springer International Publishing AG
Volume:   15612
ISBN:  

9783031900617


Pages:   576
Publication Date:   23 April 2025
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $168.16 Quantity:  
Add to Cart

Share |

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


Add your own review!

Overview

Full Product Details

Author:   Pablo García-Sánchez ,  Emma Hart ,  Sarah L. Thomson
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Volume:   15612
ISBN:  

9783031900617


ISBN 10:   3031900618
Pages:   576
Publication Date:   23 April 2025
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

.- 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.

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

RGJUNE2025

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List