A Hybrid Swarm Algorithm for Collective Construction of 3D Structures
In order to decrease the time of construction of self-assembly algorithm based on the construction of wasp nests, with respect to the number of iterations, this work proposes a novel hybrid swarm algorithm combining strengths of self-assembly and the particle swarm optimization. The paper also considers integration of adaptive values of inertia to further balance exploration and exploitation for improving the construction process. According to the obtained results, it is shown experimentally with two types of benchmark structures that the convergence speed of our hybrid swarm algorithm is considerably improved because each structure is built complete on a lower number of iterations compared with the classical algorithm.
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.