Removing Node and Edge Overlapping in Graph Layouts by A Modified EGENET Solver

• Authors: Vincent Tam
• Venue: ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
• Year: 1999

Graph layout problems such as node and edge overlapping occur widely in many industrial computer-aided design applications. Usually, these problems are handled in an ad hoc manner by some specially designed algorithms. GENET and its extended model EGENET are local search methods used to solve constraint satisfaction problems such as the car-sequencing problems efficiently. Both models use the min-conflict heuristic to update every finite-domain variable for finding local minima, and then apply heuristic learning rule(s) to escape the local minima not representing solution(s). In the past, few researchers have ever considered to apply any local search method like the EGENET approach to solve graph layout problems. In this paper, we consider how to modify the original EGENET model for solving the graph layout problems formulated as continuous constrained optimization problems. The empirical evaluation of different approaches on the graph layout problems demonstrated some advantages of our modified EGENET approach, which requires further investigation. More importantly, this interesting proposal opens up numerous opportunities for exploring the other possible ways to modify the original EGENET model, or using the other local search methods to solve these graph layout problems.