Section 1. Swarm intelligence algorithms. Chapter 1. Unified swarm intelligence algorithms ; Chapter 2. Local best particle swarm optimization using crown jewel defense strategy ; Chapter 3. Multi-objective binary fish school search ; Chapter 4. City group optimization: an optimizer for continuous problems ; Chapter 5. Magnetotactic bacteria optimization algorithm (MBOA) for function optimization: MBOA based on four best-Rand pairwise schemes ; Chapter 6. An analysis on fireworks algorithm solving problems with shifts in the decision space and objective space -- Section 2. Swarm intelligence applications. Chapter 7. Assessment of gamma-ray-spectra analysis method utilizing the fireworks algorithm for various error measures ; Chapter 8. A computational comparison of swarm optimization techniques for optimal load shedding under the presence of FACTS devices to avoid voltage instability ; Chapter 9. Using particle swarm optimization algorithm as an optimization tool within developed neural networks ; Chapter 10. Squeeze casting parameter optimization using swarm intelligence and evolutionary algorithms ; Chapter 11. Swarm-intelligence-based communication protocols for wireless sensor networks ; Chapter 12. Image reconstruction of electrical impedance tomography using fish school search and differential evolution ; Chapter 13. Multi-thresholding of histopathological images using fuzzy entropy and parameterless cuckoo search ; Chapter 14. Optimized base station sleeping and smart grid energy procurement scheme to improve energy efficiency ; Chapter 15. Using cuckoo search algorithm for hybrid flow shop scheduling problems under makespan criterion ; Chapter 16. Particle swarm optimization for model predictive control in reinforcement learning environments.