Identification of Suitable FMRP Using Inverse Ant Algorithm for Caraga Region

Abstract

The Inverse Ant Algorithm w/ Mutable Path Pheromone Concentration is an enhanced inverse algorithm that mimics biological ants to find food from their mounds to the food itself. It uses constraints in defecting actual events like road capacity, speed limit, car length, and traffic light delays. One of the Inverse Ant Algorithms' purposes is to optimize performance in traffic management, especially in the stagnation issue. On the other hand, Farm to Market Road (FMR) is a government initiative that connects production centers to the market. It helps farmers easily access roads that ease the burden of bringing their farm produce to the consumers. Its goal is to eliminate or mitigate food waste due to limited transportation. FMR was chosen through prioritization criteria that the Department of Agriculture-Bureau of Agricultural and Fisheries Engineering (DA-BAFE) evaluates through physical inspection. The requirements were developed using the Analytic Hierarchy Process (AHP), which produces a prioritization list of FMR for possible government funding. Prioritization criteria like existing agricultural production area, potential production area, existing livestock production area, distance to the production area, distance to market, and the average daily traffic of vehicles passing the road are considered in creating a priority list. These criteria are converted as constraints in applying the inverse ant algorithm in locating the suitable road from the area of production to the market or network links in identifying the suited FMR projects as the priority for implementation.