Solving the inverse graph model for conflict resolution using a hybrid metaheuristic algorithm
From MaRDI portal
Publication:2098052
DOI10.1016/j.ejor.2022.06.052OpenAlexW4283725615MaRDI QIDQ2098052
Publication date: 17 November 2022
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2022.06.052
group decisions and negotiationsinverse analysishybrid metaheuristic algorithmgraph model for conflict resolution (GMCR)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A biased random key genetic algorithm for the field Technician scheduling problem
- Matrix representation and extension of coalition analysis in group decision support
- A hybrid PSO-GA algorithm for constrained optimization problems
- A genetic algorithm for task scheduling on heterogeneous computing systems using multiple priority queues
- A discrete particle swarm optimization method for feature selection in binary classification problems
- Using matrices to link conflict evolution and resolution in a graph model
- Upper and lower probabilistic preferences in the graph model for conflict resolution
- Mixed stabilities for analyzing opponents' heterogeneous behavior within the graph model for conflict resolution
- A general hierarchical graph model for conflict resolution with application to greenhouse gas emission disputes between USA and China
- Matrix representations of the inverse problem in the graph model for conflict resolution
- Interval fuzzy preferences in the graph model for conflict resolution
- A hybrid adaptively genetic algorithm for task scheduling problem in the phased array radar
- Solving the maximum edge disjoint path problem using a modified Lagrangian particle swarm optimisation hybrid
- Directed particle swarm optimization with Gaussian-process-based function forecasting
- Fuzzy option prioritization for the graph model for conflict resolution
- An effective PSO-inspired algorithm for the team orienteering problem
- Modeling and solution of the joint quay crane and truck scheduling problem
- Optimizing the cost of preference manipulation in the graph model for conflict resolution
This page was built for publication: Solving the inverse graph model for conflict resolution using a hybrid metaheuristic algorithm