A Multiple-Objective Ant Colony for Optimizing Disaster Relief Logistics

BATMETAN, JOHAN REIMON and Santoso, Alb. Joko and Pranowo, . (2017) A Multiple-Objective Ant Colony for Optimizing Disaster Relief Logistics. Advanced Science Letters, 23 (3). pp. 1-9.

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Text (Johan Reimon Batmetan,, Alb. Joko Santoso and, Pranowo) 10. A multiple-objective ant colony algorithm for optimizing disaster relief logistics.pdf Download (935kB) | Preview

Abstract

A logistic is one of the most important parts of disaster management. Disaster relief logistic must be optimizing with selection short path. Selection path of the logistic is aimed at residential areas close to the volcano and into the danger zone. A logistic disaster needed an information system with accurate and quickly intervening respond. Concerns expressed in the logistic is a less accurate path selection and a complex path that will be chosen so as to result in casualties. This paper tries to investigate to choose the shortest path in the logistics of the eruption of the Lokon volcano. This study tried to apply the formula by entering a speed indicator, distance, bend, density and secure point to calculate the short path to being selected using MO-ACO algorithm. Model simulations and calculations are done by making the aggregation of existing indicators and continue to calculate and determine the short logistic using MO-ACO algorithm. Results obtained to produce a solution with the short path logistic map that is a low budget, and quickly respond to manage disaster. This map became clues in disaster management and navigation in the logistic process. This logistic map using for logistic information system and implicated in disaster management Lokon volcano on North Sulawesi.

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