Picture of a sphere with binary code

Making Strathclyde research discoverable to the world...

The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs. It exposes Strathclyde's world leading Open Access research to many of the world's leading resource discovery tools, and from there onto the screens of researchers around the world.

Explore Strathclyde Open Access research content

Optimal multi-objective discrete decision making using a multidirectional modified Physarum solver

Masi, Luca and Vasile, Massimiliano (2012) Optimal multi-objective discrete decision making using a multidirectional modified Physarum solver. In: EVOLVE 2012 International Conference, 2012-08-07 - 2012-08-09.

[img] PDF
Masi_L_Vasile_M_Pure_Optimal_multi_objective_discrete_decision_making_using_a_multidirectional_modified_physarum_solver.pdf - Draft Version

Download (205kB)

Abstract

This paper will address a bio-inspired algorithm able to incrementally grow decision graphs in multiple directions for discrete multi-objective optimization. The algorithm takes inspiration from the slime mould Physarum Polycephalum, an amoeboid organism that in its plasmodium state extends and optimizes a net of veins looking for food. The algorithm is here used to solve multi-objective Traveling Salesman and Vehicle Routing Problems selected as representative examples of multi-objective discrete decision making problems. Simulations on selected test case showed that building decision sequences in two directions and adding a matching ability (multidirectional approach) is an advantageous choice if compared with the choice of building decision sequences in only one direction (unidirectional approach). The ability to evaluate decisions from multiple directions enhances the performance of the solver in the construction and selection of optimal decision sequences.