This paper introduces a simulation designed to test real-time path planning done by single and multiple agents. The components of the simulation include a road network, several Uninhabited Aerial Vehicles (UAVs) with electro-optic sensors, a target and an Uninhabited Ground Vehicle (UGV). The target and UGV are located on the road network. Random blockages are placed on the road network, possib...

The precision and efficiency of multi-target path planning are crucial factors influencing the performance anti-mine operations using unmanned underwater vehicles (UUVs). Addressing inadequacies in computation time solution quality present existing algorithms, this study proposes a novel cost estimation strategy based on neural networks. This swiftly generates an accurate matrix, ensuring attai...

We propose a novel method of message security using trust-based multi-path routing. Simulation results, coupled w ith theoretical justif ication, aff irm that the proposed solution is much more secured than the traditional multi-path routing algorithms. We propose a method to securely route messages in an ad-hoc network using multi-path routing and trustworthiness of the nodes. Hence, we aim at...

We present a new multi-path routing methodology, MLBrouting, that is based on the multinomial logit model, which is well known in the random utility field. The key concept of the study is to set multiple paths from the origin to the destination, and distribute packets in accordance with multinomial logit type probability. Since MLB-routing is pure multi-path routing, it reduces the convergence ...

A shortest path problem is a practical issue in networks for real-world situations. This paper addresses the fuzzy shortest path (FSP) problem to obtain the best fuzzy path among fuzzy paths sets. For this purpose, a new efficient algorithm is introduced based on a new definition of ideal fuzzy sets (IFSs) in order to determine the fuzzy shortest path. Moreover, this algorithm is developed for ...

| This paper introduces a new tournament selection algorithm that can be used for evolutionary path planning systems. The fuzzy tournament selection algorithm (FTSA) described in this paper selects candidate paths (CPs) to be parents and undergo reproduction based on: (1) the euclidean distance of a path from the origin to its destination, (2) the sum of the changes in the slope of a path, and ...

This paper aims at the topological structure of traditional Ad Hoc network model, proposes an original multi-path network model which based on graph theory analysis. On this foundation, linear program theory is used to optimize this model, take analysis and solution. Then, the resulting conclusion is used to select the multi-path routing of practical Ad Hoc Networks, this paper takes the each l...