PhD

Multitask Knowledge Transfer in Genetic Algorithms

The previous article discussed transferring knowledge from one completed problem to a new problem. However, such sequential transfer of knowledge…

8 months ago

A primer on Memetic Automatons

Memetic automatons leverage knowledge gained from solving previous problems to solve new optimization problems faster and more effectively. …Read More

9 months ago

Data-driven meme selection

This article discusses how we can use data to automatically select the best meme from a pool of memes, thereby…

10 months ago

An introduction to memetic computation

Memetic computation is an extension of evolutionary computation that combines the use of memes and genes to produce better solutions.…

11 months ago

An introduction to evolutionary algorithms for dummies

Evolutionary algorithms are heuristic search and optimization algorithms that imitate the natural evolutionary process. This article puts evolutionary algorithms into…

12 months ago

Running multiple containers within virtual hosts in Mininet

Mininet is a popular network emulator that allows us to create virtual networks using virtual hosts, switches, and controllers. Recently,…

1 year ago

The nuts and bolts of Service Function Chaining (SFC)

Service Function Chaining (SFC) leverages Network Function Virtualization (NFV) and Software Defined Networking (SDN) to create a programmable and dynamic…

1 year ago

What is Network Function Virtualization (NFV)?

Network Function Virtualization (NFV) is the latest chapter in computer networks that tries to solve some of the pressing concerns…

1 year ago

Tournament Selection in Genetic Algorithms

Tournament selection is one of the many selection strategies we use in Genetic Algorithms (GAs) to select individuals for crossover.…

1 year ago

NSGA II: Non-Dominated Sorting Genetic Algorithm II

Non-Dominated Sorting Genetic Algorithm II (NSGA II) is an evolutionary algorithm, which we use in multi-objective optimization scenarios. This article…

1 year ago