Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing (Communications in Computer and Information Science)

✍ Scribed by Aleš Zamuda (editor), Swagatam Das (editor), Ponnuthurai Nagaratnam Suganthan (editor), Bijaya Ketan Panigrahi (editor)

• Publisher: Springer
• Year: 2020
• Tongue: English
• Leaves: 224
• Category: Library

✦ Synopsis

This volume constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2019, and 5th International Conference on Fuzzy and Neural Computing, FANCCO 2019, held in Maribor, Slovenia, in July 2019.
The 18 full papers presented in this volume were carefully reviewed and selected from a total of 31 submissions for inclusion in the proceedings. The papers cover a wide range of topics in swarm, evolutionary, memetic and other intelligent computing algorithms and their real world applications in problems selected from diverse domains of science and engineering.

✦ Table of Contents

Preface
Organization
Contents
Cooperative Model of Evolutionary Algorithms and Real-World Problems
1 Introduction
2 A Cooperative Model of Evolutionary Algorithms
2.1 CoBiDE
2.2 Individual-Dependent Approach
2.3 CMA-ES
2.4 jSO
2.5 Competitive Mechanism and Population-Size Reduction
3 Experimental Settings
4 Results and Discussion
5 Conclusion
References
Pareto-Based Self-organizing Migrating Algorithm Solving 100-Digit Challenge
1 Introduction
2 The Self-organizing Migrating Algorithm
3 SOMA Pareto
3.1 The Organization Operation
3.2 The Migration Operation
3.3 The Update Operation
4 Experiment Setup
4.1 Hardware and Software Environment
4.2 The Parameters
4.3 Stopping Criterion
4.4 How to Score Points
5 Simulation Results
6 Conclusion
References
Population Size in Differential Evolution
1 Introduction
2 Related Work
3 Background
3.1 Differential Evolution (DE)
3.2 Self-adaptive Differential Evolution (jDE)
4 Self-adaptive Differential Evolution with Restarts (rjDE)
5 Experiments and Results
5.1 Results for NP = 100
5.2 Results for Different Population Sizes
6 Conclusion
References
Channel Assignment with Ant Colony Optimization
1 Introduction
2 Channel Assignment Problem
3 Proposed Algorithm
4 Experimental Research
4.1 Experimental Settings
4.2 Results
5 Conclusion
References
Self-organizing Migrating Algorithm with Non-binary Perturbation
Abstract
1 Introduction
2 Self-organizing Migrating Algorithm (SOMA)
3 Experiment Setup
4 Results
4.1 Performance Visualization
4.2 Numerical Results
4.3 Parameter Pool Visualization
5 Conclusion
Acknowledgements
References
Boundary Strategies for Self-organizing Migrating Algorithm Analyzed Using CEC’17 Benchmark
Abstract
1 Introduction
2 Self-organizing Migrating Algorithm
3 Boundary Methods
3.1 Clipping Method
3.2 Random Method
3.3 Reflection Method
3.4 Periodic Method
4 Experiment Setting
5 Results
6 Conclusion
Acknowledgments
References
MOEA with Approximate Nondominated Sorting Based on Sum of Normalized Objectives
Abstract
1 Introduction
2 Proposed Method
2.1 Proposed Approximate NDS Based on Sum of Objectives
3 Experimental Results and Simulation Results
4 Conclusion
Acknowledgement
References
Evolutionary Bi-objective Optimization and Knowledge Extraction for Electronic and Automotive Cooling
1 Introduction
2 Plate-Fin Heat Sink (PFHS)
2.1 Multi-objective Optimization Problem Formulation
3 Optimization Results
4 Knowledge Extraction
4.1 PFHS with Flow Through Air Cooling System
4.2 PFHS with Impingement Flow Air Cooling System
5 Conclusion
References
Classification of Stock Market Trends with Confidence-Based Selective Predictions
1 Introduction
2 Theoretical Background
2.1 Wavelet Transform
2.2 Empirical Mode Decomposition
2.3 Random Vector Functional Link
2.4 Stock Market Indicators
2.5 DWT-EMD-RVFL-SVR Model
3 Proposed Method
4 Experiment
4.1 Datasets
4.2 Experimental Setup
4.3 Results and Discussion
5 Conclusion and Future Work
References
A Neural Net Based Prediction of Sound Pressure Level for the Design of the Aerofoil
1 Introduction
2 Proposed Method and Simulation Results
2.1 Self-noise Dataset Description
2.2 Proposed Method
2.3 Simulation Results
3 Conclusion
References
Competition of Strategies in jSO Algorithm
1 Differential Evolution
1.1 Adaptive DE Variant – jSO
2 Competition of Strategies in jSO
2.1 Mutation Variants
2.2 Type of Crossover
2.3 Eigenvector Coordinate System
2.4 Competition Mechanism
3 Experimental Settings
4 Results and Discussion
5 Conclusion
References
Neural Swarm Virus
1 Introduction
2 Background: Malware, Swarm-Based Intelligence, and Neural Network
2.1 Malware
2.2 Swarm Intelligence
2.3 Neural Network
3 Neural Network Swarm Virus Creation
3.1 General Idea
3.2 Spreading Mechanisms
3.3 Virus Structure and Functionality
3.4 Virus Behavior Patterns
3.5 Adopting Neural Network to Target Specific Object
4 Experiment Setups
5 Results
6 Conclusion
References
Wrapper-Based Feature Selection Using Self-adaptive Differential Evolution
1 Introduction
2 Related Information
2.1 Artificial Neural Network
2.2 Differential Evolution
3 Proposed Method
3.1 Problem Specification
3.2 Problem Understanding
3.3 Data Preprocessing
3.4 Data Mining
3.5 Evaluation
3.6 Result Exploitation
4 Experiments and Results
4.1 Basic Evaluation
4.2 Detailed Evaluation
5 Conclusion
References
SOMA T3A for Solving the 100-Digit Challenge
1 Introduction
2 The Proposed Algorithm
2.1 Original Self-organizing Migrating Algorithm
2.2 SOMA T3A
3 Experiment Setup
3.1 Implementation Environment
3.2 Functions
3.3 Scoring
3.4 Termination Criterion
3.5 Control Parameters of SOMA T3A
4 Results
5 Conclusions
References
Tracking the Exploration and Exploitation in Stochastic Population-Based Nature-Inspired Algorithms Using Recurrence Plots
1 Introduction
2 Stochastic Population-Based Nature-Inspired Algorithms
3 Recurrence Quantification Analysis and Recurrence Plots
4 Methodology
4.1 RQA Analysis and Generating a Recurrence Plot
5 Discussion
6 Conclusion
References
Insight into Adaptive Differential Evolution Variants with Unconventional Randomization Schemes
Abstract
1 Introduction
2 Related Work
3 Differential Evolution
4 Discrete Chaotic Systems as CPRNGs
5 Experiment Setup
6 Results
7 Conclusion
Acknowledgement
References
Virtual Measurement of the Backlash Gap in Industrial Manipulators
1 Introduction
2 Background
2.1 Backlash
2.2 Covariance Matrix Adaptation Evolution Strategy
3 Proposed Approach
4 Experimental Setup
4.1 Test Bench
4.2 Matlab/Simulink Model
4.3 Backlash Identification
5 Experimental Results
6 Conclusions and Future Works
References
Hybrid Elephant Herding Optimization Approach for Cloud Computing Load Scheduling
1 Introduction
1.1 Cloud Computing Paradigm and Related Work
1.2 Paper Goal and Organization
2 Load Scheduling Optimization Model
3 Original and Hybridized Elephant Herding Optimization Metaheuristics
4 Empirical Experiments and Analysis
5 Conclusion and Future Work
References
Author Index