@inproceedings{8e31f2679d7442da9c2272a5a86986d9,
title = "Probabilistic Based Evolutionary Optimizers in Bi-objective Travelling Salesman Problem",
abstract = "This paper studies the probabilistic based evolutionary algorithms in dealing with bi-objective travelling salesman problem. Multi-objective restricted Boltzmann machine and univariate marginal distribution algorithm in binary representation are modified into permutation based representation. Each city is represented by an integer number and the probability distributions of the cities are constructed by running the modeling approach. A refinement operator and a local exploitation operator are proposed in this work. The probabilistic based evolutionary optimizers are subsequently combined with genetic based evolutionary optimizer to complement the limitations of both algorithms.",
keywords = "Estimation of distribution algorithm, evolutionary multi-objective optimization, restricted Boltzmann machine, travelling salesman problem",
author = "Shim, {Vui Ann} and Tan, {Kay Chen} and Chia, {Jun Yong}",
year = "2010",
doi = "10.1007/978-3-642-17298-4_66",
language = "English",
isbn = "9783642172977",
series = "Lecture Notes in Computer Science",
publisher = "Springer ",
pages = "588--592",
editor = "Kalyanmoy Deb",
booktitle = "Simulated Evolution and Learning",
note = "8th Simulated Evolution and Learning Conference (SEAL 2010) ; Conference date: 01-12-2010 Through 04-12-2010",
}