Applications of Evolutionary Computation : 23rd European Conference, EvoApplications 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings / edited by Pedro A. Castillo, Juan Luis Jiménez Laredo, Francisco Fernández de Vega.

Format:

Book

Contributor:

Castillo, Pedro A., Editor.

Jiménez Laredo, Juan Luis., Editor.

Fernández de Vega, Francisco, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 12104

Theoretical Computer Science and General Issues, 2512-2029 ; 12104

Language:

English

Subjects (All):

Computer science.

Computer networks.

Computer systems.

Computers.

Education-Data processing.

Theory of Computation.

Computer Communication Networks.

Computer System Implementation.

Computing Milieux.

Computers and Education.

Local Subjects:

Theory of Computation.

Computer Communication Networks.

Computer System Implementation.

Computing Milieux.

Computers and Education.

Physical Description:

1 online resource (XVII, 704 pages) : 251 illustrations, 177 illustrations in color.

Edition:

1st ed. 2020.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2020.

System Details:

text file PDF

Summary:

This book constitutes the refereed proceedings of the 23rd European Conference on Applications of Evolutionary Computation, EvoApplications 2020, held as part of Evo*2020, in Seville, Spain, in April 2020, co-located with the Evo*2020 events EuroGP, EvoMUSART and EvoCOP. The 44 full papers presented in this book were carefully reviewed and selected from 62 submissions. The papers cover a wide spectrum of topics, ranging from applications of bio-inspired techniques on social networks, evolutionary computation in digital healthcare and personalized medicine, soft-computing applied to games, applications of deep-bioinspired algorithms, parallel and distributed systems, and evolutionary machine learning.

Contents:

Applications of Evolutionary Computation

A Local Search for Numerical Optimisation based on Covariance Matrix Diagonalisation

EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework in Python

Optimizing the Hyperparameters of a Mixed Integer Linear Programming Solver to Speed Up Electric Vehicle Charging Control

Automatic rule extraction from access rules using Genetic Programming

Search Trajectory Networks of Population-based Algorithms in Continuous Spaces

Evolving-controllers versus learning-controllers for morphologically evolvable robots

Simulation-driven multi-objective evolution for traffic light optimization

Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites

EvoDynamic: a framework for the evolution of generally represented dynamical systems and its application to criticality

A Decomposition-Based Evolutionary Algorithm with Adaptive Weight Vectors for Multi- and Many-objective Optimization

Differential Evolution Multi-Objective for Tertiary Protein Structure Prediction

Particle Swarm Optimization: A Wrapper-based Feature Selection Method for Ransomware Detection and Classification

A method for estimating the computational complexity of multimodal functions

Locating Odour Sources with Geometric Syntactic Genetic Programming

Designing cable-stayed bridges with Genetic Algorithms

A fast, scalable meta-heuristic for network slicing under traffic uncertainty

What is Your MOVE: Modeling Adversarial Network Environments

Using evolution to design modular robots: An empirical approach to select module designs

Iterated Granular Neighborhood Algorithm for the Taxi Sharing Problem

Applications of Bio-inspired techniques on Social Networks

Multiobjective Optimization of a Targeted Vaccination Scheme in the Presence of Non-diagnosed Cases

Community Detection in Attributed Graphs with Differential Evolution

Applications of Deep Bioinspired Algorithms

Fake news detection using time series and user features classification

Social Learning vs Self-teaching in a Multi-agent Neural Network System

Evolving Instinctive Behaviour in Resource-Constrained Autonomous Agents Using Grammatical Evolution

An Adversarial Optimization Approach for the Development of Robust Controllers

Soft Computing Applied to Games

Efficient Heuristic Policy Optimisation for a Challenging Strategic Card Game

Finding Behavioural Patterns Among League of Legends Players Through Hidden Markov Models

Learning the Designer's Preferences to Drive Evolution

Testing hybrid computational intelligence algorithms for general game playing

Evolutionary Computation in Digital Healthcare and Personalized Medicine

Accelerated Design of HIFU Treatment Plans Using Island-based Evolutionary Strategy

Using Genetic Algorithms for the prediction of cognitive impairments

Short and Medium Term Blood Glucose Prediction using Multi-Objective Grammatical Evolution

Evolutionary Machine Learning

A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks

Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution

An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution

Using Skill Rating as Fitness on the Evolution of GANs

A Local Search with a Surrogate Assisted Option for Instance Reduction

Evolutionary Latent Space Exploration of Generative Adversarial Networks

Neuro-Evolutionary Transfer Learning through Structural Adaptation

Ant-based Neural Topology Search (ANTS) for Optimizing Recurrent Networks

Parallel and Distributed Systems

A MIMD interpreter for Genetic Programming

Security Risk Optimization for Multi-Cloud Applications

Using evolutionary algorithms for server hardening via the moving target defense technique

An Event-based Architecture for Cross-Breed Multi-population Bio-inspired Optimization Algorithms.

Other Format:

Printed edition:

ISBN:

978-3-030-43722-0

9783030437220

Access Restriction:

Restricted for use by site license.