Applications of Evolutionary Computation : 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings, Part II / edited by Stephen Smith, João Correia, Christian Cintrano.

Format:

Book

Contributor:

Smith, Stephen, editor.

Correia, João, editor.

Cintrano, Christian, editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 14635

Language:

English

Subjects (All):

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.

Local Subjects:

Theory of Computation.

Computing Milieux.

Computer Communication Networks.

Special Purpose and Application-Based Systems.

Computer System Implementation.

Mathematics of Computing.

Physical Description:

1 online resource (XXI, 409 p. 151 illus., 125 illus. in color.)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

The two-volume set LNCS 14634 and 14635 constitutes the refereed proceedings of the 27th European Conference on Applications of Evolutionary Computation, EvoApplications 2024, held as part of EvoStar 2024, in Aberystwyth, UK, April 3–5, 2024, and co-located with the EvoStar events, EvoCOP, EvoMUSART, and EuroGP. The 51 full papers presented in these proceedings were carefully reviewed and selected from 77 submissions. The papers have been organized in the following topical sections: applications of evolutionary computation; analysis of evolutionary computation methods: theory, empirics, and real-world applications; computational intelligence for sustainability; evolutionary computation in edge, fog, and cloud computing; evolutionary computation in image analysis, signal processing and pattern recognition; evolutionary machine learning; machine learning and AI in digital healthcare and personalized medicine; problem landscape analysis for efficient optimization; softcomputing applied to games; and surrogate-assisted evolutionary optimisation.

Contents:

Evolutionary Machine Learning: Hindsight Experience Replay with Evolutionary Decision Trees for Curriculum Goal Generation

Cultivating Diversity: A Comparison of Diversity Objectives in Neuroevolution

Evolving Reservoirs for Meta Reinforcement Learning

Hybrid Surrogate Assisted Evolutionary Multiobjective Reinforcement Learning for Continuous Robot Control

Towards Physical Plausibility in Neuroevolution Systems

Leveraging More of Biology in Evolutionary Reinforcement Learning

A Hierarchical Dissimilarity Metric for Automated Machine Learning Pipelines, and Visualizing Search Behaviour

DeepEMO: A Multi-Indicator Convolutional Neural Network-based Evolutionary Multi-Objective Algorithm

A Comparative Analysis of Evolutionary Adversarial One-Pixel Attacks

Robust Neural Architecture Search using Differential Evolution for Medical Images

Progressive Self-Supervised Multi-Objective NAS for Image Classification

Genetic Programming with Aggregate Channel Features for Flower Localization Using Limited Training Data

Evolutionary Multi-Objective Optimization of Large Language Model Prompts for Balancing Sentiments

Evolutionary Feature-Binning with Adaptive Burden Thresholding for Biomedical Risk Stratification

An Evolutionary Deep Learning Approach for Efficient Quantum Algorithms Transpilation

Measuring Similarities in Model Structure of Metaheuristic Rule Set Learners

Machine Learning and AI in Digital Healthcare and Personalized Medicine: Incremental growth on Compositional Pattern Producing Networks based optimization of biohybrid actuators

Problem Landscape Analysis for Efficient Optimization: Hilbert Curves for Efficient Exploratory Landscape Analysis Neighbourhood Sampling

Predicting Algorithm Performance in Constrained Multiobjective Optimization: A Tough Nut to Crack

On the Latent Structure of the bbob-biobj Test Suite

Soft Computing applied to Games

Strategies for Evolving Diverse and Effective Behaviours in Pursuit Domains

Using Evolution and Deep Learning to Generate Diverse Intelligent Agents

Vision Transformers for Computer Go

Surrogate-Assisted Evolutionary Optimisation: Integrating Bayesian and Evolutionary Approaches for Multi-Objective Optimisation.

Notes:

Includes bibliographical references and index.

ISBN:

9783031568558

3031568559

OCLC:

1427725647