@article{jcsa2014222,
author={{T.A., Zheldak and V., Redko},
title={Using an Evolutionary Heuristics for Solving the Outdoor Advertising Optimization Problem},
journal={Journal of Computer Sciences and Applications},
volume={2},
number={2},
pages={23--30},
year={2014},
url={http://pubs.sciepub.com/jcsa/2/2/2},
issn={2328-725X},
abstract={In this paper we consider the problem of selecting a carrier of the plurality of outdoor advertising offers available in the formulation of the knapsack problem, namely, when restricted to the amount of funding. The paper proposes a variant of the heuristic based on the modeling method of artificial immune system of the human body. The basis algorithm immune operators comprise cloning, mutation, selective compression of the memory and repeating the natural processes in lymphocytes. The proposed simulation method of artificial immune systems can be used to solve a wide range of combinatorial search and constrained optimization problems.},
doi={10.12691/jcsa-2-2-2}
publisher={Science and Education Publishing}
}