Engineering Applications of Modern Metaheuristics

Contents
Empirical Comparison of Heuristic Optimisation Methods for Automated Car Setup
	1 Introduction
	2 The Open Racing Car Simulator (TORCS)
	3 Heuristics, Metaheuristics and Hyper-Heuristics
		3.1 Selection Hyper-Heuristics
		3.2 Covariance Matrix Adaptation Evolutionary Strategy
		3.3 Closest Best Closest Worst Particle Swarm Optimisation
	4 Experimental Design
	5 Results and Discussion
		5.1 Comparison of Heuristic Selection Methods
		5.2 Comparison of Individual Low Level Heuristics
		5.3 Comparison with Other Methods
	6 Conclusion
	References
Metaheuristic Algorithms in IoT: Optimized Edge Node Localization
	1 Introduction
	2 Related Works
	3 Proposed Method
		3.1 The Grey Wolf Optimizer (GWO)
		3.2 Moth-Flame Optimization (MFO)
		3.3 Hybrid Algorithm (GWOMFO)
	4 Results Analysis
		4.1 Benchmark Functions (CEC2015)
		4.2 Benchmark Functions (CEC2019)
		4.3 Edge Node Localization Problem
	5 Conclusion
	References
JAYA Algorithm Versus Differential Evolution: A Comparative Case Study on Optic Disc Localization in Eye Fundus Images
	1 Introduction
	2 JAYA Algorithm for Optic Disc Localization
		2.1 Fitness Evaluation
	3 Performance Analysis
	4 Conclusion
	References
Minimum Transmission Power Control for the Internet of Things with Swarm Intelligence Algorithms
	1 Introduction
		1.1 Main Contributions of the Study
	2 Literature Review
	3 Material and Methods
		3.1 Minimum Transmission Power Control
		3.2 Particle Swarm Optimization (PSO)
		3.3 Artificial Bee Colony (ABC)
		3.4 Salp Swarm Algorithm (SSA)
		3.5 Tree-Seed Algorithm (TSA)
	4 Experimental Setup
	5 Results and Discussions
	6 Conclusion
	References
An Enhanced Gradient Based Optimized Controller for Load Frequency Control of a Two Area Automatic Generation Control System
	1 Introduction
	2 Mathematical Model of the System
		2.1 Governor Model
		2.2 Turbine Model
		2.3 Generator-Load Model
		2.4 Tie-Line
	3 Optimization Techniques
		3.1 Gradient-Based Optimizer
		3.2 Enhanced Gradient-Based Optimizer
	4 Controller Structure with Problem Formulation
	5 Study Results and Discussions
		5.1 Case Studies
		5.2 Convergence Comparison of the Optimizers
		5.3 Comparative Statistical Analysis
	6 Conclusion
	Appendix A
	Appendix B
	Appendix C
	Appendix D
	References
A Meta-Heuristic Algorithm Based on the Happiness Model
	1 Introduction
	2 Happiness Optimizer
		2.1 Inspiration
	3 Comparative Study
		3.1 Statistical Discussion
		3.2 Real Problem
	4 Conclusions
	References
Application of Metaheuristic Techniques for Enhancing the Financial Profitability of Wind Power Generation Systems
	1 Introduction
	2 Objective Formulation
		2.1 Annual Profit Calculation
		2.2 Wind Flow Pattern
		2.3 Terrain Conditions
	3 Optimization Algorithms
		3.1 Binary Particle Swarm Optimization Algorithm (BPSOA)
		3.2 Genetic Algorithm (GA)
		3.3 Proposed Enhanced GA
	4 Results and Discussion
	5 Conclusion
	References
Optimization of Demand Response
	1 Introduction
	2 Demand Response
	3 Loads
	4 Renewable Energy Sources and Storage Systems
		4.1 Renewable Energy Sources
		4.2 Storage Systems
	5 Tariff
	6 User Comfort
	7 Problem Formulation
	8 Optimization Techniques
	References
Fitting Curves of Ruminal Degradation Using a Metaheuristic Approach
	1 Introduction
	2 Materials and Methods
		2.1 Data Collection
		2.2 Particle Swarm Optimization (PSO)
		2.3 Curve Fitting
	3 Proposed Algorithm
		3.1 Fitness Function
	4 Results and Discussion
	5 Conclusions
	References
Optimizing a Real Case Assembly Line Balancing Problem Using Various Techniques
	1 Introduction
	2 Literature Review
	3 Problem Definition and Formulation
	4 Methodology
	5 Computational Results
		5.1 Straight Line
		5.2 U-Shaped Line
	6 Conclusion
	References
Multi-circle Detection Using Multimodal Optimization
	1 Introduction
	2 Particle Swarm Optimization
		2.1 Multimodal PSO
		2.2 Local Search PSO
	3 Proposed Method
	4 Experimental Results
		4.1 EPSO Based Multiple Circle Detection Application Results
		4.2 EPSO Based Multiple Circle Detection Application Performance Results
		4.3 Comparison of Standard Hough Transform with EPSO Based Multiple Circle Detection
	5 Conclusions
	References