An integrated ACO-AHP approach for resource management optimization

Abstract

The most often used operator to aggregate criteria in decision making problems is the classical weighted sum model or weighted sum model. However, in many problems, the criteria considered interact and a substitute to the weighted sum model has to be adopted. Multi-criteria decision making (MCDM) problems involve the ranking of a finite set of alternatives in terms of a finite number of decision criteria. Usually such criteria may be in conflict with each other. A typical problem in MCDA is concerned with the task of ranking a finite number of decision alternatives, each of which is explicitly described in terms of different characteristics often called decision criteria or objectives. This research applies an integrated multi-criteria decision making approach to design an optimal UAV resource management. In this approach, the ant colony optimization (ACO) is used firstly to obtain optimal solutions satisfying some path planning criteria, then, fuzzy analytic hierarchy process (AHP) is formulated to select the best set of UAVs. Due to vagueness and uncertainty, fuzzy set theory based AHP is employed in the decision making judgments, because it can handle uncertainty easily. The proposed method can be extended to any sensor network resource management problem.

Multiple-Scenario Unmanned Aerial System Control: A Systems Engineering Approach and Review of Existing Control Methods

“…The ant colony optimization (ACO) approach has been adopted as a method to optimize UAS path planning. Fallahi et al [59] proposed a method that integrated ACO and an analytic hierarchy process that showed good results for path planning using the ACO algorithm. An adaptive ant colony optimization approach for multiple UASs for coordinated trajectory re-planning was proposed by Duan et al [60].…”

“…Optimizing resources for multi-criteria decision making using ant colony optimization (ACO) and analytic hierarchy process (AHP) was proposed by Fallahi et al [59]. Unlike other approaches that rank a finite set of alternatives in a multi-criteria decision making problem, this approach utilizes the ACO to obtain optimal solutions satisfying some of the path-planning criteria.…”

Two-step algorithm for the optimization of vehicle fleet in electricity distribution company

“…Finally, in Ref. [23] an integrated multi-criteria decision making approach to design an optimal resource management based on fuzzy analytic hierarchy process (AHP) is formulated. In this approach, the ant colony optimization is used to obtain optimal solutions satisfying some path planning criteria and to select the best set of vehicles.…”

Optimal vehicle fleet mix planning in a distribution utility using fuzzy multi-criteria decision making

“…Solutions are evaluated using three objectives, with a goal of maximizing flexibility in accomplishing each task within its closure time, and minimizing fleet cost and total task duration. Finally, in [12] an integrated multi-criteria decision making approach to design an optimal resource management based on fuzzy analytic hierarchy process (AHP) is formulated. In this approach, the ant colony optimization is used to obtain optimal solutions satisfying some path planning criteria and to select the best set of vehicles.…”