Genetic algorithm

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 …

Heuristics for the Wireless Backhaul Network Design Problem

A biased random-key genetic algorithm for wireless backhaul network design

This paper describes a biased random-key genetic algorithm for a real-world wireless backhaul network design problem. This is a novel problem, closely related to variants of the Steiner tree problem and the facility location problem. Given a …