"Swarm Intelligence: Recent Advances and Current Applications" ed. by Marco Antonio Aceves-Fernández, Andries Engelbrecht

This book discusses both Artificial intelligence (AI) and swarm intelligence, including their theoretical backgrounds and applications.

Artificial intelligence (AI) has attracted the attention of many and is taking an increasingly crucial role in our modern society. AI machines demonstrate advanced cognitive skills in making decisions, learning, perceiving the environment, predicting certain behavior, and processing written or spoken languages, among other skills. In tandem with AI, “swarm intelligence” is being used to solve complex problems that are beyond the reasoning and problem-solving abilities of humans.

Contents
1. Particle Swarm Optimization
2. Bio-inspired Optimization: Algorithm, Analysis and Scope of Application
3. Designing Artificial Neural Network Using Particle Swarm Optimization: A Survey
4. Airborne Pollution (PM2.5) Forecasting Using Long Short-Term Memory Deep Recurrent Neural Network Optimized by Gaussian Process
5. Dynamic Economic Load Dispatch of Hydrothermal System
6. Using Many Objective Bat Algorithms for Solving Many Objective Nonlinear Functions
7. Intelligent Local Search Optimization Methods to Optimal Morocco Regime
8. Design Optimization of 18-Poled High-Speed Permanent Magnet Synchronous Generator
9. Autonomous Role Assignment Using Contact Stimuli in Swarm Robotic Systems


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