eBook - ePub
Computational Intelligence-based Optimization Algorithms
From Theory to Practice
- 356 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
About this book
- Gives theoretical descriptions of each presented algorithm and algorithm codes in a way that is easy to follow
- Offers a robust literature review for each algorithm
- Useful for a range of readers that may need to understand and apply optimization
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Yes, you can access Computational Intelligence-based Optimization Algorithms by Babak Zolghadr-Asli in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half-Title Page
- Title Page
- Copyright Page
- Table of Contents
- List of Figures
- Foreword
- Preface
- 1 An Introduction to Meta-Heuristic Optimization
- 2 Pattern Search Algorithm
- 3 Genetic Algorithm
- 4 Simulated Annealing Algorithm
- 5 Tabu Search Algorithm
- 6 Ant Colony Optimization Algorithm
- 7 Particle Swarm Optimization Algorithm
- 8 Differential Evolution Algorithm
- 9 Harmony Search Algorithm
- 10 Shuffled Frog-Leaping Algorithm
- 11 Invasive Weed Optimization Algorithm
- 12 Biogeography-Based Optimization Algorithm
- 13 Cuckoo Search Algorithm
- 14 Firefly Algorithm
- 15 Gravitational Search Algorithm
- 16 Plant Propagation Algorithm
- 17 Teaching-Learning-Based Optimization Algorithm
- 18 Bat Algorithm
- 19 Flower Pollination Algorithm
- 20 Water Cycle Algorithm
- 21 Symbiotic Organisms Search Algorithm
- Index