دورية أكاديمية

A genetic algorithm approach to solving the anti-covering location problem.

التفاصيل البيبلوغرافية
العنوان: A genetic algorithm approach to solving the anti-covering location problem.
المؤلفون: Chaudhry, Sohail S.
المصدر: Expert Systems; Nov2006, Vol. 23 Issue 5, p251-257, 7p, 3 Charts
مصطلحات موضوعية: GENETIC algorithms, LOCATION problems (Programming), COMPUTER software, LINEAR programming, RELAXATION methods (Mathematics), CHROMOSOMES, HEURISTIC, POPULATION genetics, OPERATIONS research
مستخلص: In this paper we address the problem of locating a maximum weighted number of facilities such that no two are within a specified distance from each other. A natural process of evolution approach, more specifically a genetic algorithm, is proposed to solve this problem. It is shown that through the use of a commercially available spreadsheet-based genetic algorithm software package, the decision-maker with a fundamental knowledge of spreadsheets can easily set up and solve this optimization problem. Also, we report on our extensive computational experience using three different data sets. [ABSTRACT FROM AUTHOR]
Copyright of Expert Systems is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
قاعدة البيانات: Complementary Index
الوصف
تدمد:02664720
DOI:10.1111/j.1468-0394.2006.00407.x