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Swarm Intelligence: from Natural to Artificial Systems

Title: Swarm Intelligence: from Natural to Artificial Systems

Speaker: Manar Hosny , PhD| Computer Science Department, CCIS, KSU.

Synopsis:

Swarm Intelligence is a population based optimization technique that is inspired by the collective behavior of living species. Individuals in this population interact locally with other individuals and with their environment to reach a common goal, such as finding food or reaching a desired destination. Examples of systems studied by swarm intelligence are colonies of ants and termites, schools of fish, flocks of birds, and herds of land animals.

Swarm Intelligence has been successfully applied in many research and application areas. It has been demonstrated that it can get better results in a faster, cheaper way compared with other optimization methods.

In this presentation, we will give an overview of some famous swarm intelligence techniques, such as the Ant Colony Optimization (ACO), the Particle Swarm Optimization (PSO), and the Bees Algorithm (BA).

 

Dr. Manar Fawzi Hosny:

Is an Assistant Professor and the vice chair of the Computer Science Department, College of Computer and Information Sciences, King Saud University. She has a PhD in Computer Science from Cardiff University, UK, 2010. Her main research area is in metaheuristic algorithms and combinatorial optimization, besides HCI, bioinformatics, social network analysis and technology in education.

 

Date/Time: Tuesday, March 1, 2016 at 12:00pm

Location: Khadija Auditorium, F49 in Building 6  - Broadcast to Room 2090 in CCIS Building 31

Last updated on : January 12, 2023 4:14am