@inproceedings{38662d92173f4f32a719248839fbe0a6,
title = "Comparative study of methods for combining artificial immune systems and random local search",
abstract = "Construction of a new efficient algorithm from several simple ones is an actively researched area and it includes such approaches as operator selection with reinforcement learning, hybridisation, memetic algorithms etc. Artificial immune systems and random local search have remarkable differences in the structure of mutation operators, so they demonstrate different behaviour during optimization process. Combination of mutation operators from these two groups of algorithms may produce a new algorithm which is efficient on fixed budget and reaches optimum within reasonable time bounds. To the best of our knowledge, this is the first attempt to compare different approaches which combine AIS with other optimization heuristic.",
keywords = "AIS, BCA, CLONALG, Hybridisation, Memetic algorithms, Reinforcement learning, RLS",
author = "Nina Bulanova and Arina Buzdalova and Vladimir Parfenov",
year = "2016",
language = "English",
series = "Mendel",
publisher = "Brno University of Technology",
pages = "87--94",
editor = "Matousek Radek",
booktitle = "MENDEL 2016 - 22nd International Conference on Soft Computing",
address = "Czech Republic",
note = "22nd International Conference on Soft Computing: Evolutionary Computation, Genetic Programming, Swarm Intelligence, Fuzzy Logic, Neural Networks, Chaos, Bayesian Methods, Intelligent Image Processing, Bio-Inspired Robotics, MENDEL 2016 ; Conference date: 08-06-2016 Through 10-06-2016",
}