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Index
Cover
Title Page
Copyright Page
Book Series
Mission
Coverage
Preface
THE CHALLENGES
SEARCHING FOR A SOLUTION
ORGANIZATION OF THE BOOK
REFERENCES
Chapter 1: Newly-Developed Swarm Intelligence Algorithms Applied to Renewable Energy-Based Load Dispatch Real-World Problems
ABSTRACT
INTRODUCTION
MATHEMATICAL PROBLEM FORMULATION
SYSTEM CONSTRAINTS
GOA ALGORITHM
PROCEDURE OF QOGOA FOR RENEWABLE ECONOMIC LOAD DISPATCH PROBLEM
SIMULATIONS RESULT AND DISCUSSION
CONCLUSION
REFERENCES
Chapter 2: Semi-Automatic Sensor Ontology Matching Based on Interactive Multi-Objective Evolutionary Algorithm
ABSTRACT
1. INTRODUCTION
2. RELATED WORK
3. ONTOLOGY-MATCHING PROBLEM
4. INTERACTIVE MULTI-OBJECTIVE EVOLUTIONARY ALGORITHM
5. EXPERIMENTAL RESULTS AND ANALYSIS
6. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
ENDNOTES
Chapter 3: A Comparative Study Among Recursive Metaheuristics for Gene Selection
ABSTRACT
1. INTRODUCTION
2. RELATED WORKS
3. METHODS
4. EXPERIMENTAL STUDY
5. CONCLUSION
REFERENCES
ENDNOTE
Chapter 4: Training Artificial Neural Networks With Improved Particle Swarm Optimization
ABSTRACT
1. INTRODUCTION
2. TRAINING ARTIFICIAL NEURAL NETWORKS WITH PARTICLE SWARM OPTIMIZATION
3. PARTICLE SWARM OPTIMIZATION ALGORITHMS TO TRAIN ARTIFICIAL NEURAL NETWORKS
4. TRAIN ARTIFICIAL NEURAL NETWORKS WITH PSO-SHOCK FOR FORECASTING ELECTRICITY DEMAND IN THAILAND
5. CONCLUSION
REFERENCES
Chapter 5: Segmentation and Edge Extraction of Grayscale Images Using Firefly and Artificial Bee Colony Algorithms
ABSTRACT
INTRODUCTION
BACKGROUND
GRAY IMAGE SEGMENTATION AND EDGE EXTRACTION
SOLUTIONS AND RECOMMENDATIONS
FUTURE RESEARCH DIRECTIONS
CONCLUSION
REFERENCES
Chapter 6: Analysis of the Dynamic Characteristics of the Firefly Algorithm
ABSTRACT
INTRODUCTION
FIREFLY ALGORITHM
DETERMINISTIC FIREFLY ALGORITHM
CHAOTIC BEHAVIOR OF FIREFLY
NUMERICAL SIMULATIONS
CONCLUSION
REFERENCES
Chapter 7: Nature-Inspired Usability Optimization
ABSTRACT
1. INTRODUCTION
2. BACKGROUND
3. NATURE INSPIRED OPTIMIZATION
4. EXPERIMENTS AND RESULTS
5. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
Chapter 8: Evaluation of Bayesian Network Structure Learning Using Elephant Swarm Water Search Algorithm
ABSTRACT
INTRODUCTION
STRUCTURE LEARNING OF BAYESIAN NETWORKS
NATURE INSPIRED ELEPHANT SWARM WATER SEARCH ALGORITHM
ESWSA FOR BAYESIAN NETWORK STRUCTURE LEARNING
EXPERIMENTAL EVALUATION
CONCLUSION
REFERENCES
Chapter 9: Multi-Objective Optimal Power Flow of Integrated Renewable Systems Using a Novel Evolutionary Algorithm
ABSTRACT
1. INTRODUCTION
2. PROBLEM FORMULATION
3. GO ALGORITHM
4. APPLICATION AND RESULTS
5. CONCLUSION
6. FUTURE RESEARCH DIRECTIONS
REFERENCES
Chapter 10: Genetic Algorithm-Influenced Top-N Recommender System to Alleviate the New User Cold Start Problem
ABSTRACT
INTRODUCTION
RELATED WORKS
DISCUSSION
CONCLUSION
REFERENCES
Chapter 11: Experimental Study on Boundary Constraints Handling in Particle Swarm Optimization
ABSTRACT
1. INTRODUCTION
2. PARTICLE SWARM OPTIMIZATION
3. BOUNDARY CONSTRAINTS HANDLING
4. EXPERIMENTAL STUDY
5. POPULATION DIVERSITY ANALYSIS AND DISCUSSION
6. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
KEY TERMS AND DEFINITIONS
Chapter 12: Contour Gradient Optimization
ABSTRACT
1. INTRODUCTION
2. BACKGROUND
3. CONTOUR GRADIENT OPTIMIZATION
4. SIMULATION RESULTS
5. ANALYSIS OF CGO
6. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
Chapter 13: An Analysis of Fireworks Algorithm Solving Problems With Shifts in the Decision Space and Objective Space
ABSTRACT
1. INTRODUCTION
2. FIREWORKS ALGORITHM
3. MAPPING STRATEGIES IN FIREWORKS ALGORITHM
4. POPULATION DIVERSITY
5. EXPERIMENTAL STUDY
6. POPULATION DIVERSITY DISCUSSION
7. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
Chapter 14: Population Diversity of Particle Swarm Optimization Algorithm on Solving Single and Multi-Objective Problems
ABSTRACT
1. INTRODUCTION
2. PRELIMINARIES
3. POPULATION DIVERSITY
4. EXPERIMENTAL STUDY
5. ANALYSIS AND DISCUSSION
6. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
KEY TERMS AND DEFINITIONS:
Chapter 15: A Study of Normalized Population Diversity in Particle Swarm Optimization
ABSTRACT
1. INTRODUCTION
2. PARTICLE SWARM OPTIMIZATION
3. POPULATION DIVERSITY
4. NORMALIZED POPULATION DIVERSITY
5. EXPERIMENTAL STUDIES
6. DIVERSITY ANALYSIS AND DISCUSSION
7. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
Chapter 16: Multi-Objective Short-Term Hydro-Thermal Scheduling Using Meta-Heuristic Approaches
ABSTRACT
1. INTRODUCTION
2. MATHEMATICAL REPRESENTATION OF THE PROBLEM
3. GREY WOLF OPTIMIZATION
4. APPLICATION OF GWO FOR MOHTS
5. OPPOSITIONAL BASED LEARNING
6. SIMULATION RESULTS
7. CONCLUSION
8. FUTURE SCOPE OF WORK
REFERENCES
KEY TERMS AND DEFINITIONS
Chapter 17: Mobile Anchor-Assisted Localization Using Invasive Weed Optimization Algorithm
ABSTRACT
1. INTRODUCTION
2. RELATED WORK
3. PATH PLANNING ALGORITHM FOR AN MA
4. LOCALIZATION PROCESS
5. INVASIVE WEED OPTIMISATION
6. CULTURAL ALGORITHM
7. NUMERIC SIMULATIONS AND RESULTS
8. CONCLUSION
REFERENCES
Compilation of References
About the Contributors
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