Proceedings of 6th International Conference on Harmony Search, Soft Computing and Applications: ICHSA 2020, Istanbul: 1275 (Advances in Intelligent Systems and Computing, 1275)

This book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Sixth International Conference on Harmony Search, Soft Computing and Applications held at Istanbul University, Turkey, in July 2020. Harmony Search (HS) is one of the most popular metaheuristic algorithms, developed in 2001 by Prof. Joong Hoon Kim and Prof. Zong Woo Geem, that mimics the improvisation process of jazz musicians to seek the best harmony. The book consists of research articles on novel and newly proposed optimization algorithms; the theoretical study of nature-inspired optimization algorithms; numerically established results of nature-inspired optimization algorithms; and real-world applications of optimization algorithms and synthetic benchmarking of optimization algorithms. Preface Contents About the Authors Performance Quantification of Search Operators in Hybrid Harmony Search Algorithms 1 Introduction 2 Meta-Heuristic Algorithm 2.1 Genetic Algorithm 2.2 Harmony Search Algorithm 2.3 Particle Swarm Optimization 3 Hybrid Algorithm 4 Quantifying Operator of Algorithm 5 Application Results 5.1 Mathematical Benchmark Function 5.2 Performance Evaluation 6 Conclusion References Harmony Search Algorithms for Optimizing Extreme Learning Machines 1 Introduction 2 Extreme Learning Machine 3 Harmony Search and other Variants 3.1 Harmony Search 3.2 Improved Harmony Search 3.3 Global-best Harmony Search 3.4 Intelligent Tuned Harmony Search 4 Proposed Hybrid Approaches (HS-ELM, IHS-ELM, GHS-ELM, and ITHS-ELM) 5 Experimental results 6 Conclusions References Freestyle Rap Harmony Search (FRHS) for Engineering Problem Optimization 1 Introduction 2 Methodology 2.1 Freestyle Rap Harmony Search 3 Problem Formulation 3.1 Objective Function 3.2 Conservation of Mass Equation. 3.3 Conservation of Energy Equation 3.4 Minimum Pressure Requirements 4 Application 4.1 Study Network 4.2 Application Results 5 Conclusions References Improvement of Voltage Profile and Loss Reduction Based on Optimal Placement and Sizing of Renewable Distributed Generations Using 4-Rule Harmony Search Algorithm 1 Introduction 2 4-Rule Harmony Search Algorithm 3 Mathematical Formulation 4 Simulation Results 5 Conclusions References Control of a Jacket Platform Under Wave Load Using ATMD and Optimization by HSA 1 Introduction 2 Mathematical Model of Ressalat Platform with ATMD and Optimization Procedure 3 Results and Discussion References Robustness of Structures with Active Tuned Mass Dampers Optimized via Modified Harmony Search for Time Delay 1 Introduction 2 The Equations of Motion for ATMD with PID Control 3 The Numerical Investigation 4 Conclusions and Future Works References Optimum Active Controlled SDOF Structures Under Pulse-Type Ground Motions via Harmony Search 1 Introduction 2 Methodology 3 The Numerical Example 4 Conclusions References Hybrid Harmony Search Algorithm for Optimum Design of Vibration Absorber System for Adjacent Buildings 1 Introduction 2 The Methodology 2.1 Equations of Motion 3 The Numerical Example 4 Conclusions References The Effect of Initial Values on Metaheuristic-Based Optimum Design of Tuned Mass Dampers 1 Introduction 2 Methodology 2.1 Optimum Design of Tuned Mass Dampers via Jaya Algorithm 2.2 The Alternative Approach for Initial Values 3 The Numerical Example 4 Conclusions References The Comparison of Classical and Artificial Neural Network-Based Formulations for Tuned Mass Damper Optimization 1 Introduction 2 The Design of Tuned Mass Dampers 2.1 The Equations of Motion 2.2 The Tuning Equations for TMDs 2.3 ANN-Based Formulation for TMD Optimization 3 Comparison of the Methods 4 Conclusions References Passive Control of Frame Structures by Optimum Tuned Mass Dampers 1 Introduction 2 The Optimum Design of TMDs 3 Numerical Examples 3.1 Structure Model 1 3.2 Structure Model 2 References Total Potential Optimization Using Metaheuristics: Analysis of Cantilever Beam via Plane-Stress Members 1 Introduction 2 The Total Potential Energy of Plane-Stress Members 3 The Methodology of the Minimization of Total Potential Energy 4 Numerical Examples 4.1 Cantilever Beam Under a Concentered Load 4.2 Cantilever Beam Under a Concentered Load with More Frequent Meshing 5 Conclusions References Performance of the Whale Optimization Algorithm in Space Steel Frame Optimization Problems 1 Introduction 2 Size Optimization of Steel Frames 2.1 Objective and Variables 2.2 Constraints 2.3 Evaluation of Fitness 3 Whale Optimization Algorithm 3.1 Mathematical Model 4 Design Example 5 Conclusion References Evaluation of Metaheuristic Algorithm on Optimum Design of T-Beams 1 Introduction 2 The Optimization Process 3 The Numerical Example 3.1 Conclusions Appendix References Multi-objective Optimization of the Reinforced Concrete Beam 1 Introduction 1.1 Background 1.2 Multi-objective Optimization 2 Methodology 2.1 Case Study 2.2 Objective Function 3 Result of HSA and GA 3.1 Result of Coding 4 Conclusion References Optimal Cost Design of Single-Story Reinforced Concrete Frames Using Jaya Algorithm 1 Introduction 2 The Design Methodology 2.1 The Optimization Problem 2.2 The Optimization Process 3 Numerical Examples 4 Conclusion References Optimum Design of Reinforced Concrete Retaining Walls Under Static and Dynamic Loads Using Jaya Algorithm 1 Introduction 2 The Design Methodology 2.1 The Optimization Problem 2.2 The Optimization Process 3 Numerical Examples 4 Conclusion References Jaya Optimization for the Design of Cantilever Retaining Walls with Toe Projection Restriction 1 Introduction 2 The Design Methodology 2.1 The Optimization Problem 2.2 The Optimization Process 3 Numerical Examples 4 Conclusion References Transportation Path Assignment Within the Airports in Turkey 1 Introduction 2 Optimization Problem of Airport Transport 3 Metaheuristic Techniques 3.1 Tree Seed Algorithm (TSA) 3.2 Symbiotic Organisms Search (SOS) 4 Design Example 5 Conclusion References Structural Strengthening of RC Buildings for Enhanced Seismic Resistance 1 Introduction 2 Examination of the Building 3 Strengthening Proposal 4 Numerical Analyses 5 Results and Discussion 6 Conclusions References Seismic Performance of Existing RC Framed Buildings Using Pushover Analysis Method 1 Introduction 2 The Examined Building 2.1 Rebar Properties 2.2 Concrete Strength 2.3 Soil Parameters 3 Evaluation of the Existing Buildings 3.1 Damage Limits and Regions Defined for the Structural Members 3.2 The Seismic Performance of Reinforced Concrete Buildings 3.3 Targeted Performance Levels for the Buildings 4 Analysis and Results 5 Conclusions References Computation of Axial Symmetric Cylindrical Reinforced Concrete Walls with Domes 1 Introduction 2 The Analyses of Axial Symmetric Cylindrical Reinforced Concrete Walls via Flexibility Theory 3 The Numerical Investigation 4 Conclusions and Future Works References A Review on the Mechanical Properties of Natural Fiber-Reinforced Composites 1 Introduction 2 Mechanical Properties of Natural Fiber-Reinforced Composites 3 Conclusions References Choosing the Appropriate Branch for Participation Banks Through Machine Learning 1 Introduction 2 Related Works 3 DBSCAN and OPTICS Algorithms 4 Implementation 4.1 Data Gathering 4.2 Modeling 5 Result and Discussion References Prediction of Soil Plasticity Index with the Use of Regression Analysis and Artificial Neural Networks: A Specific Case for Bakırköy District 1 Introduction 2 Material and Method 3 Result and Discussion 3.1 Case 1: Prediction of PI Against LL with Both LR and ANN 3.2 Case 2: Prediction of PI Against LL, H, and FC with MLR 4 Conclusion References The Applicability of Regression Analysis and Artificial Neural Networks to the Prediction Process of Consistency and Compaction Properties of High Plastic Clays 1 Introduction 2 Material and Method 3 Results and Discussion 3.1 Stage 1: Prediction of Clay Consistency 3.2 Stage 2: Prediction of Compaction Characteristics 4 Conclusion References A Hybrid Recurrent Model Based on LSTM and Statistical Evaluation to Predict Soil Displacement for Landslide Monitoring 1 Introduction 2 Related Work 3 Data 4 Methodology 4.1 LSTM Prediction 4.2 ANOVA 4.3 Stepwise Data Mining 5 Experiment 5.1 Experimental Design 5.2 Results and Analysis 6 Conclusions References Prediction of Optimum 3-Bar Truss Model Parameters with an ANN Model 1 Introduction 2 3-Bar Truss Structure Model 3 Harmony Search Algorithm (HS) 4 Artificial Neural Networks (ANNs) and Machine Learning Process 5 Numerical Results and Conclusion 6 Conclusions References Defects Detection in Fruits and Vegetables Using Image Processing and Soft Computing Techniques 1 Introduction 2 Background 3 Materials and Methods 3.1 Database Preparation 3.2 Proposed Method 3.3 Pre-Processing 3.4 Blob Detection 3.5 Color Identification Using K-means Cluster 3.6 Watershed Algorithm 3.7 Feature Extraction 3.8 Classification 4 Results and Discussion 5 Conclusion References A Framework for Quality Evaluation of Edible Nuts Using Computer Vision and Soft Computing Techniques 1 Introduction 2 Background 3 Materials and Methods 3.1 Data Set 3.2 Feature Extraction 3.3 HSL Color Space 3.4 Texture 3.5 Feature Selection and Feature Model 3.6 Soft Computing Techniques 4 Results and Discussions 5 Conclusions References Discovery of Spatial Patterns of Types of Cooking Fuels Used in the Districts of India Using Spatial Data Mining 1 Introduction 2 Methodology 2.1 Exploratory Spatial Data Analysis (ESDA) 2.2 Clustering 3 Results 4 Discussion 5 Conclusion References An Interactive Approach of Rule Mining and Anomaly Detection for Internal Risks 1 Introduction 2 Related Work 3 Rule Mining and Anomaly Detection 3.1 Event Representation of Behavior Rules and Abnormal Behaviors 3.2 Behavior Rule Mining 3.3 Abnormal Behavior Detection 3.4 Result Evaluation and Feedback 4 Case Study 5 Conclusion References Wear Particles Classification Using Shape Features 1 Introduction 2 Related Work 3 Methodology 4 Experimentation Results 4.1 Dataset 4.2 Testing Procedure 5 Conclusion References Smart Academic Guidance for Institutional Students 1 Introduction 2 Survey of Existing Solutions and Their Limitations 2.1 DegreeWorks 2.2 Jadawil 2.3 Google Form 3 Related Work 4 Methodology and Framework 4.1 Bitwise Operation 4.2 Bitwise AND Operation Implementation for Student Data Storage 4.3 Student Information Interface 5 Applications to Real-World Problems 5.1 Event Organization 5.2 Time Conflict Alternatives 6 Conclusion References Grey Wolf Optimizer with Crossover and Opposition-Based Learning 1 Introduction 2 An Overview of Grey Wolf Optimizer Algorithm 2.1 Social Behavior 2.2 Encircling Prey 2.3 Hunting 3 Proposed Method 4 Results and Discussion 5 Conclusion References Development of Discrete Artificial Electric Field Algorithm for Quadratic Assignment Problems 1 Introduction 2 Artificial Electric Field Algorithm 3 Development of Discrete Artificial Electric Field Algorithm (DAEFA) 3.1 Particle Representation 3.2 Velocity Updating 3.3 Position Updating 4 Experimental Results and Discussions 4.1 Data and Experimental Environment 4.2 Performance Evaluation of DAEFA 4.3 Comparison with the Existing Optimizers 5 Conclusion References Fuzzy-Based Kernelized Clustering Algorithms for Handling Big Data Using Apache Spark 1 Introduction 2 Preliminaries 2.1 Scalable Literal Fuzzy c-Means (SLFCM) 2.2 Scalable Random Sampling with Iterative Optimization Fuzzy c-Means (SRSIO-FCM) 3 Apache Spark 4 Proposed Work 4.1 Kernelized Scalable Literal Fuzzy c-Means (KSLFCM) 4.2 Kernelized Scalable Random Sampling with Iterative Optimization Fuzzy c-Means (KSRSIO-FCM) 5 Experimental Results 5.1 Experimental Environment 5.2 Dataset 5.3 Parameters Specification 5.4 Evaluation Criteria 5.5 Result 6 Conclusion References Author Index