A novel approach based on genetic algorithm (GA) is put forward to determine the possible relative preference required reach desired equilibria for focal decision-makers (DMs) or third party from inverse perspective. More specifically, a framework of graph model conflict resolution (GMCR) modified original GMCR incorporating GA's procedure proposed provide DMs with strategic insights toward problems resolution. By taking full advantage optimization and search capability GA, an improved...

This article studies the load optimization configuration problem of optical fiber networks. Firstly, a comprehensive review existing research achievements and directions was conducted. Then, based on MC-NSGA-II (Monte-Carlo-NSGA-II) method, network resilience other objective functions were used to solve schemes in various situations. By transforming multi-objective problems into combinatorial selection problems, sparsity solution space is effectively reduced, making easier converge. At same...

In recent years, with the rapid development of drone technology, unmanned aerial vehicles (UAVs) have been widely applied in various fields such as terrain exploration and photography. Ground target detection is one many application areas UAVs. Through ground detection, UAVs are able to quickly obtain information about position, quantity, size targets without physical contact ground, providing data support for scenarios. Therefore, this paper conducts experimental analysis based on XTDrone...

Since both are nuclear-armed countries, the conflict arisen frequently between India and Pakistan is considered to be one of most dangerous international territorial disputes. In this paper, we utilize graph model for resolution (GMCR) explore inner mechanism possible evolution a recent India-Pakistan Conflict in 2019. First, modeling analysis steps GMCR briefly introduced. Second, foregoing built, stability performed, given actual background. After that, path analyzed reveal interactions...

The strategic conflict is always an important means for countries and enterprises to maintain competitiveness in a complex environment, it confronts with large amount of cognitive information. confrontation analysis can take the subjective information into consideration. decision-making subject resource constraints, key problems should be solved first. However, due complexity objective things fuzziness human thinking, current research difficult evaluate dilemmas process. Therefore, we...

Conflict occurs when different stakeholders have value systems for a given issue, and each of them can change the state conflict, but together they determine resulting outcome. Sometimes, outcomes that are undesired by decision makers (DMs) or third parties may be obtained. The inverse graph model conflict resolution (GMCR) is presented to help DMs reach an expected equilibrium. However, in some complex conflicts, would distinct behavioral patterns (named combinatorial behaviors), which...

Since first reported publicly in Wuhan, the novel coronavirus pneumonia (COVID-19) has attracted attention all over world. As one of worst-hit places, Italy had registered 1,479,910 tested cases, with 211,938 infected 82,879 recoveries, 29,079 deaths as 29 June 2020. The Italian authorities have implemented multiple control strategies, such basic social-distancing measures, early measures (including closing mall and school), even nationwide lockdown. Herein, a model, named S2E2IHRD, is...

Third-party mediation has been proved to be an effective way resolve conflicts. T he p reference optimization based on inverse Graph Model for Conflict Resolution (GMCR) provides strong theoretical support the formulation of a third-party scheme. Real-world conflict parties have complicated preferences, which may or not transferred. In order determine optimal preference under desired equilibrium, this work considers conditions transitive preferences into current model GMCR. Only...

The battlefield environment under the information warfare is complex and changeable. In order to solve problem that communication easily interfered combat interaction not accurate enough in mosaic warfare, adaptive mechanism introduced into unmanned combatand an cluster model based on "vision-perception-drive" proposed. agent with perceives surrounding through vision, conducts internal autonomous simulation, uses principle of future state maximization(FSM) decide its own movement direction....

The purpose of military game is to get strategic advantages through negotiation even war. Maintaining the initiative and achieving goals in a require scientific analysis informed decision-making. However, due limitation clear complete information available for (especially at level), most existing methods relying on experience commanders or experts are too subjective. Therefore, graph model conflict resolution presented perform modeling game. More specifically, mappings key elements between...