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Applications of Evolutionary Computation : 24th International Conference, EvoApplications 2021, Held as Part of EvoStar 2021, Virtual Event, April 7-9, 2021, Proceedings / edited by Pedro A. Castillo, Juan Luis Jiménez Laredo.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 12694
- Theoretical Computer Science and General Issues, 2512-2029 ; 12694
- Language:
- English
- Subjects (All):
- Computer science.
- Computers.
- Education-Data processing.
- Computer networks.
- Computers, Special purpose.
- Computer systems.
- Theory of Computation.
- Computing Milieux.
- Computers and Education.
- Computer Communication Networks.
- Special Purpose and Application-Based Systems.
- Computer System Implementation.
- Local Subjects:
- Theory of Computation.
- Computing Milieux.
- Computers and Education.
- Computer Communication Networks.
- Special Purpose and Application-Based Systems.
- Computer System Implementation.
- Physical Description:
- 1 online resource (XVII, 830 pages) : 269 illustrations, 225 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2021.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the 24th International Conference on Applications of Evolutionary Computation, EvoApplications 2021, held as part of Evo*2021, as Virtual Event, in April 2021, co-located with the Evo*2021 events EuroGP, EvoCOP, and EvoMUSART. The 51 revised full papers presented in this book were carefully reviewed and selected from 78 submissions. The papers cover a wide spectrum of topics, ranging from applications of evolutionary computation; applications of deep bioinspired algorithms; soft computing applied to games; machine learning and AI in digital healthcare and personalized medicine; evolutionary computation in image analysis, signal processing and pattern recognition; evolutionary machine learning; parallel and distributed systems; and applications of nature inspired computing for sustainability and development.
- Contents:
- On Restricting Real-Valued Genotypes in Evolutionary Algorithms
- Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions
- Co-Optimising Robot Morphology and Controller in a Simulated Open-ended Environment
- Multi-objective workforce allocation in construction projects
- Generating Duplex Routes for Robust Bus Transport Network by Improved Multi-objective Evolutionary Algorithm based on Decomposition
- Combining Multi-objective Evolutionary Algorithms with deep generative models towards focused molecular design
- A Multi-Objective Evolutionary Algorithm Approach for Optimizing Part Quality Aware Assembly Job Shop Scheduling Problems
- Evolutionary Grain-Mixing to Improve Profitability in Farming Winter Wheat
- Automatic Modular Design of Behavior Trees for Robot Swarms with Communication Capabilites
- Salp Swarm Optimization Search Based Feature Selection for Enhanced Phishing Websites Detection
- Real Time Optimisation of Traffic Signals to Prioritise Public Transport
- Adaptive Covariance Pattern Search
- Evaluating the Success-History based Adaptive Differential Evolution in the Protein Structure Prediction problem
- Beyond Body Shape and Brain: Evolving the Sensory Apparatus of Voxel-based Soft Robots
- Desirable Objective Ranges in Preference-based Evolutionary Multiobjective Optimization
- Improving Search Efficiency and Diversity of Solutions in Multiobjective Binary Optimization by Using Metaheuristics plus Integer Linear Programming
- Automated, Explainable Rule Extraction from MAP-Elites archives
- EDM-DRL: Toward Stable Reinforcement Learning through Ensembled Directed Mutation
- Continuous Ant-Based Neural Topology
- Playing with Dynamic Systems - Battling Swarms in Virtual Reality
- EvoCraft: A New Challenge for Open-Endedness
- A Profile-Based 'GrEvolutionary' Hearthstone Agent
- Modelling Asthma Patients' Responsiveness to Treatment Using Feature Selection and Evolutionary Computation
- Bayesian Networks for Mood Prediction Using Unobtrusive Ecological Momentary Assessments
- A Multi-Objective Multi-Type Facility Location Problem for the Delivery of Personalised Medicine
- RDE-OP: A Region-Based Differential Evolution Algorithm Incorporation Opposition-Based Learning for Optimising the Learning Process of Multi-Layer Neural Networks
- Estimation of Grain-level Residual Stresses in a Quenched Cylindrical Sample of Aluminum Alloy AA5083 using Genetic Programming
- EDA-based optimization of blow-off valve positions for centrifugal compressor systems
- 3D-2D Registration using X-ray Simulation and CMA-ES
- Lateralized Approach for Robustness AgainstAttacks in Emotion Categorization from Images
- Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification
- Deep Optimisation: Multi-Scale Evolution by Inducing and Searching in Deep Representations
- Evolutionary Planning in Latent Space
- Utilizing the Untapped Potential of Indirect Encoding for Neural Networks with Meta Learning
- Effective Universal Unrestricted Adversarial Attacks using a MOE Approach
- Improving Distributed Neuroevolution Using Island Extinction and Repopulation
- An Experimental Study of Weight Initialization and Lamarckian Inheritance on Neuroevolution
- Towards Feature-Based Performance Regression Using Trajectory Data
- Demonstrating the Evolution of GANs through t-SNE
- Optimising diversity in classifier ensembles of classification trees
- WILDA: Wide Learning of Diverse Architectures for Classification of Large Datasets
- Evolving Character-Level DenseNet Architectures using Genetic Programming
- Transfer Learning for Automated Test Case Prioritization using XCSF
- On the Effects of Absumption for XCS with Continuous-Valued Inputs
- A NEAT Visualisation of Neuroevolution Trajectories
- Evaluating Models with Dynamic Sampling Holdout
- Event-driven multi-algorithm optimization: mixing Swarm and Evolutionary strategies
- TensorGP - Genetic Programming Engine in TensorFlow
- A novel evolutionary approach for IoT-based water contaminant detection
- Evolutionary Algorithms for Roughness Coefficient Estimation in River Flow Analyses
- EA-based ASV Trajectory Planner for Pollution Detection in Lentic Waters.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-72699-7
- 9783030726997
- Access Restriction:
- Restricted for use by site license.
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