Particle Swarm Optimization
Collective intelligence in nature through collective behaviors is observed in swarm of bees colony of ants, flock of birds, school of fish and herd of animals. Collective intelligence through Social interaction in a group can provide a solution to a cognitive problem. Swarm intelligence is observed.
New computing techniques are developed by observing how naturally occurring phenomena behave to solve complex problems. Bio-inspired computing represents the umbrella of different studies of computer science, mathematics, and biology. Bio-inspired computing optimization algorithms is an emerging approach which is based on the principles and inspiration of the biological evolution of nature to develop new and robust competing techniques.
Particle Swarm Optimization (PSO) is metaheuristic algorithm. It is inspired by collective intelligence.
The course covers introductory topics in swarm intelligence and particle swarm optimization in particular. The course covers basic variants and applications of Particle Swarm Optimization
Topics which will be discussed in this course are listed here –
1. Introduction to the course
2. Learning from Nature
3. Natural Swarm
4. Swarm behavior
5. Collective Intelligence I
6. Collective Intelligence II
7. Bio Inspired Algorithms
8. Components of Optimization
9. Classification of Optimization Problem
10. Swarm Optimization
11. Boid : Bird Flocking
12. Particle Swarm Optimization : Introduction I
13. Particle Swarm Optimization : Introduction II
14. Particle Swarm Optimization Algorithm Variants
15. Particle Swarm Optimization : Applications
Course Information
Course Instructor
