Overview

This book constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Artificial Evolution, EA 2019, held in Mulhouse, France, in October 2019. The 16 revised papers were carefully reviewed and selected from 33 submissions. The papers cover a wide range of topics in the field of artificial evolution, such as evolutionary computation, evolutionary optimization, co-evolution, artificial life, population dynamics, theory, algorithmic and modeling, implementations, application of evolutionary paradigms to the real world (industry, biosciences...), other biologically-inspired paradigms (swarm, artificial ants, artificial immune systems, cultural algorithms...), memetic algorithms, multi-objective optimization, constraint handling, parallel algorithms, dynamic optimization, machine learning and hybridization with other soft computing techniques.

Full Product Details

Author:   Lhassane Idoumghar ,  Pierrick Legrand ,  Arnaud Liefooghe ,  Evelyne Lutton
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   2020 ed.
Volume:   12052
Weight:   0.454kg
ISBN:  

9783030457143

ISBN 10:   3030457141
Pages:   219
Publication Date:   16 April 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

From Feature Selection to Continuous Optimization.- Evolving a Weighted Combination of Text Similarities for Authorship Attribution.- Image Signal Processor Parameter Tuning with Surrogate-assisted Particle Swarm Optimization.- Combinatorial Surrogate-assisted Optimization for Bus Stops Spacing Problem.- Optimization of a Checkers Player Using Neural and Metaheuristic Approaches.- A Novel Outlook on Feature Selection as a Multi-Objective Problem.- Fast Evolutionary Algorithm for Solving Large-scale Multi-objective Problems.- Looking for Energy Efficient Genetic Algorithms.- Evolving Fitness Landscapes with Complementary Fitness Functions.- Bayesian Immigrant Diploid Genetic Algorithm for Dynamic Environments.- Ant Colony Optimization Algorithm for a Transportation Problem in Home Health Care with the Consideration of Carbon Emissions.- Selective Vehicle Routing Problem: A Hybrid Genetic Algorithm Approach.- Fixed Jobs Multi-agent Scheduling Problem with Renewable Resources.- A Study ofRecombination Operators for the Cyclic Bandwidth Problem.- Automatic Calibration of a Farm Irrigation Model: a Multi-modal Optimization Approach.- A Hybrid Evolutionary Algorithm for Offl­ine UAV Path Planning.

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