A Modified Pareto Ant Colony Optimization Approach to Solve Biobjective Weapon-Target Assignment Problem

Ant Colony Optimization for Quadratic Assignment Problem

THE quadratic assignement problem (QAP) can be described as an optimizing the assignment a set of facilities to a set of locations with given costs between the locations and given flows between the facilities in order to minimize the sum of the product between flows and distances. A concrete example, would be a hospital planning optimization the location of various medical facilities in order t...

A Novel Approach To Solve Tsp Using Ant Colony Optimization

ABSTRACT: Travelling salesman problem (TSP) is a routing problem, which is a sub-problem of many application domains such as transportation, network communication. In this paper, we propose a novel methodology which solves the problem ACO algorithm has defined with well distribution strategy in which total search space area is partition into P numbers of hyper-cubic quadrants where P is the dim...

Efficient Heuristic Approach to the Weapon-Target Assignment Problem

The Weapon Target Assignment (WTA) problem is a fundamental defense application of operations research. The problem consists of optimally assigning a given number of weapons to a set of targets so that the post-engagement total expected survival value of the targets is minimized. Since the WTA problem is known to be NP-complete, there are no exact methods to solve it. This paper presents two in...

The Weapon-Target Assignment Problem

Integrating a Modified Desirability Function Approach and Ant Colony Strategy to Solve Two-stage Multi-Response Optimization Problem

Evaluation of a product or process involves simultaneous study of several product quality characteristics or responses. The ultimate goal of manufacturing process optimization is to determine the settings of the process variables such that the best combination of the responses is obtained. In case of multiple processing stages, determining optimal process condition is a critical and difficult t...