Optimization

Random-Key Genetic Algorithms: Principles and Applications

A random-key genetic algorithm is an evolutionary metaheuristic for discrete and global optimization. Each solution is encoded as a vector of n random keys, where a random key is a real number randomly generated in the continuous interval [0, 1). A …

(Re)Assigning Of Nodes On Security And Priority Network

We propose an optimization approach for load balancing of (security) gateways for such resource utilization is given as a function of traffic transformation such as connection encryption. In such scenarios, the exact volume is unknown as much as the …