Journal of Computer Sciences and Applications
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Journal of Computer Sciences and Applications. 2014, 2(2), 23-30
DOI: 10.12691/jcsa-2-2-2
Open AccessArticle

Using an Evolutionary Heuristics for Solving the Outdoor Advertising Optimization Problem

Zheldak T.A.1, and Redko V.1

1Department of Systems Analysis and Control, National Mining University, Dnipropetrovs’k, Ukraine

Pub. Date: August 28, 2014

Cite this paper:
Zheldak T.A. and Redko V.. Using an Evolutionary Heuristics for Solving the Outdoor Advertising Optimization Problem. Journal of Computer Sciences and Applications. 2014; 2(2):23-30. doi: 10.12691/jcsa-2-2-2

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.

Keywords:
artificial immune system (AIS) constrained optimization problems clone selection advertising

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