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Applications of Evolutionary Computation

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Table of Contents

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    Book Overview
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    Chapter 1 An Evolutionary Approach for Scheduling a Fleet of Shared Electric Vehicles
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    Chapter 2 The Specialized Threat Evaluation and Weapon Target Assignment Problem: Genetic Algorithm Optimization and ILP Model Solution
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    Chapter 3 Improving the Size and Quality of MAP-Elites Containers via Multiple Emitters and Decoders for Urban Logistics
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    Chapter 4 An Evolutionary Hyper-Heuristic for Airport Slot Allocation
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    Chapter 5 A Fitness Landscape Analysis Approach for Reinforcement Learning in the Control of the Coupled Inverted Pendulum Task
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    Chapter 6 Local Optima Networks for Assisted Seismic History Matching Problems
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    Chapter 7 Extending Boundary Updating Approach for Constrained Multi-objective Optimization Problems
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    Chapter 8 Multi-agent vs Classic System of an Electricity Mix Production Optimization
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    Chapter 9 A Multi-brain Approach for Multiple Tasks in Evolvable Robots
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    Chapter 10 A Quality-Diversity Approach to Evolving a Repertoire of Diverse Behaviour-Trees in Robot Swarms
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    Chapter 11 Evolutionary Based Transfer Learning Approach to Improving Classification of Metamorphic Malware
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    Chapter 12 Evolving Lightweight Intrusion Detection Systems for RPL-Based Internet of Things
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    Chapter 13 A New Prediction-Based Algorithm for Dynamic Multi-objective Optimization Problems
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    Chapter 14 Epoch-Based Application of Problem-Aware Operators in a Multiobjective Memetic Algorithm for Portfolio Optimization
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    Chapter 15 Reducing the Price of Stable Cable Stayed Bridges with CMA-ES
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    Chapter 16 On the Evolution of Boomerang Uniformity in Cryptographic S-boxes
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    Chapter 17 Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms
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    Chapter 18 Automatic Design of Telecom Networks with Genetic Algorithms
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    Chapter 19 RF+clust for Leave-One-Problem-Out Performance Prediction
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    Chapter 20 Evolving Non-cryptographic Hash Functions Using Genetic Programming for High-speed Lookups in Network Security Applications
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    Chapter 21 Use of a Genetic Algorithm to Evolve the Parameters of an Iterated Function System in Order to Create Adapted Phenotypic Structures
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    Chapter 22 To Switch or Not to Switch: Predicting the Benefit of Switching Between Algorithms Based on Trajectory Features
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    Chapter 23 Frequency Fitness Assignment on JSSP: A Critical Review
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    Chapter 24 A Collection of Robotics Problems for Benchmarking Evolutionary Computation Methods
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    Chapter 25 BBOB Instance Analysis: Landscape Properties and Algorithm Performance Across Problem Instances
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    Chapter 26 A Fitness-Based Migration Policy for Biased Random-Key Genetic Algorithms
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    Chapter 27 Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features
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    Chapter 28 A Robust Statistical Framework for the Analysis of the Performances of Stochastic Optimization Algorithms Using the Principles of Severity
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    Chapter 29 Towards Constructing a Suite of Multi-objective Optimization Problems with Diverse Landscapes
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    Chapter 30 Using Genetic Programming to Learn Behavioral Models of Lithium Batteries
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    Chapter 31 An Intelligent Optimised Estimation of the Hydraulic Jump Roller Length
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    Chapter 32 A Multispectral Image Classification Framework for Estimating the Operational Risk of Lethal Wilt in Oil Palm Crops
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    Chapter 33 An AI-Based Support System for Microgrids Energy Management
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    Chapter 34 Predicting Normal and Anomalous Urban Traffic with Vectorial Genetic Programming and Transfer Learning
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    Chapter 35 Energy-Aware Dynamic Resource Allocation in Container-Based Clouds via Cooperative Coevolution Genetic Programming
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    Chapter 36 A Memetic Genetic Algorithm for Optimal IoT Workflow Scheduling
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    Chapter 37 Multi-objective Location-Aware Service Brokering in Multi-cloud - A GPHH Approach with Transfer Learning
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    Chapter 38 Evolving Neural Networks for Robotic Arm Control
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    Chapter 39 Centroid-Based Differential Evolution with Composite Trial Vector Generation Strategies for Neural Network Training
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    Chapter 40 AMTEA-Based Multi-task Optimisation for Multi-objective Feature Selection in Classification
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    Chapter 41 Under the Hood of Transfer Learning for Deep Neuroevolution
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    Chapter 42 Feature Selection on Epistatic Problems Using Genetic Algorithms with Nested Classifiers
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    Chapter 43 Grammar-Guided Evolution of the U-Net
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    Chapter 44 Explaining Recommender Systems by Evolutionary Interests Mix Modeling
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    Chapter 45 Multi-objective Evolutionary Discretization of Gene Expression Profiles: Application to COVID-19 Severity Prediction
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    Chapter 46 Interactive Stage-Wise Optimisation of Personalised Medicine Supply Chains
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    Chapter 47 Further Investigations on the Characteristics of Neural Network Based Opinion Selection Mechanisms for Robotics Swarms
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    Chapter 48 Deep Reinforcement Learning for  $$5 \times 5$$ 5 × 5 Multiplayer Go
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    Chapter 49 Genetic Programming and Coevolution to Play the Bomberman™ Video Game
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    Chapter 50 A Surrogate Function in Cellular GA for the Traffic Light Scheduling Problem
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    Chapter 51 Surrogate-Assisted $$(1+1)$$ ( 1 + 1 ) -CMA-ES with Switching Mechanism of Utility Functions
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Title
Applications of Evolutionary Computation
Published by
Springer Nature Switzerland, May 2023
DOI 10.1007/978-3-031-30229-9
ISBNs
978-3-03-130228-2, 978-3-03-130229-9
Editors

Correia, João, Smith, Stephen, Qaddoura, Raneem

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