9 Nature-inspired optimization techniques
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Pratyush Shukla
Abstract
The problem of optimization of target functions in machine learning plays a vital role in accelerating the learning process, so much so that mapping of knowledge on the system shows the minimum error rate. An optimization algorithm iteratively executes in a search space, to find among them, the proper solutions and compares them accordingly, until the best solution is found. We present some of the most popular optimization techniques widely used presently - ant colony optimization, particle swarm optimization, artificial bee colony and bat algorithm.
Abstract
The problem of optimization of target functions in machine learning plays a vital role in accelerating the learning process, so much so that mapping of knowledge on the system shows the minimum error rate. An optimization algorithm iteratively executes in a search space, to find among them, the proper solutions and compares them accordingly, until the best solution is found. We present some of the most popular optimization techniques widely used presently - ant colony optimization, particle swarm optimization, artificial bee colony and bat algorithm.
Chapters in this book
- Frontmatter I
- Preface V
- Contents IX
- About the editors XI
- List of contributors XIII
- 1 Selecting and assessing the importance of malware analysis methods for web-based biomedical services through fuzzy-based decision-making procedure 1
- 2 A medical intelligent system for diagnosis of chronic kidney disease using adaptive neuro-fuzzy inference system 19
- 3 Contrast enhancement approach for satellite images using hybrid fusion technique and artificial bee colony optimization 33
- 4 Role of intelligent IoT applications in fog computing 55
- 5 Energy-efficient routing employing neural networks along with vector-based pipeline in underwater wireless sensor networks 71
- 6 A review of global optimization problems using meta-heuristic algorithm 87
- 7 Secure indexing and storage of big data 107
- 8 Genetic algorithm and normalized text feature based document classification 123
- 9 Nature-inspired optimization techniques 137
- Index 153
Chapters in this book
- Frontmatter I
- Preface V
- Contents IX
- About the editors XI
- List of contributors XIII
- 1 Selecting and assessing the importance of malware analysis methods for web-based biomedical services through fuzzy-based decision-making procedure 1
- 2 A medical intelligent system for diagnosis of chronic kidney disease using adaptive neuro-fuzzy inference system 19
- 3 Contrast enhancement approach for satellite images using hybrid fusion technique and artificial bee colony optimization 33
- 4 Role of intelligent IoT applications in fog computing 55
- 5 Energy-efficient routing employing neural networks along with vector-based pipeline in underwater wireless sensor networks 71
- 6 A review of global optimization problems using meta-heuristic algorithm 87
- 7 Secure indexing and storage of big data 107
- 8 Genetic algorithm and normalized text feature based document classification 123
- 9 Nature-inspired optimization techniques 137
- Index 153
