Research Output per year
In this paper, a bio-inspired algorithm able to incrementally grow decision graphs in multiple directions is presented. The heuristic draws inspiration from the behaviour of the slime mould Physarum Polycephalum. In its main vegetative state, the plasmodium, this large single-celled amoeboid organism extends and optimizes a net of veins looking for food. The algorithm is here used to solve classical problems in operations research (symmetric Traveling Salesman and Vehicle Routing Problems). Simulations on selected test cases demonstrate that a multidirectional modied Physarum solver performs better than a unidirectional one. The ability to evaluate decisions from multiple directions enhances the performance of the solver in the construction and selection of optimal decision sequences.
|Number of pages||12|
|Publication status||Published - 24 May 2012|
|Event||Bioinspired Optimization Methods and their Applications, BIOMA 2012 - Bohinj, Slovenia|
Duration: 24 May 2012 → 25 May 2012
|Conference||Bioinspired Optimization Methods and their Applications, BIOMA 2012|
|Period||24/05/12 → 25/05/12|
- discrete optimisation
- physarum solver
A multi-directional modified Physarum algorithm for optimal multi-objective discrete decision makingMasi, L. & Vasile, M., Aug 2013, EVOLVE : A bridge Between Probability, Set Oriented Numerics and Evolutionary Computation III. Berlin, 19 p. (Studies in Computational Intelligence Series).
Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed)
Masi, L., & Vasile, M. (2012). A multidirectional modified Physarum solver for discrete decision making. 207-218. Paper presented at Bioinspired Optimization Methods and their Applications, BIOMA 2012, Bohinj, Slovenia.