Maintenance of Building Blocks in GA Using Symbiotic Evolutionary Viruses

In this paper, we discuss about the solution search effectiveness, the solution search behaviors and the maintenance of building blocks in GA using symbiotic evolutionary viruses. The proposed GA is based on both the building block hypothesis and the virus theory of evolution. The proposed GA has the virus infecton. The virus infection directly deals with schemes. The proposed GA aims to control the destruction of building blocks by discovery, maintenance, and propagation of building blocks based on the virus infection. We will expect that a search efficiency of GA will be increased by them.

Trajectory Generation for Redundant Manipulator using Virus-Evolutionary Genetic Algorithm with Subpopulations

In this paper, we apply a virus-evolutionary genetic algorithm with subpopulations (VEGAS) to a trajectory generation problem for redundant manipulators through energy optimization. VEGAS is based on the virus theory of evolution and VEGAS has some subpopulations that usually evolve independently. In the same subpopulation, a virus infects host individuals. And a virus sometimes immigrates from one subpopulation to another. The genetic information from one subpopulation propagates in another subpopulation only through immigration of the virus. The energy-optimized collision-free trajectory was found successfully using VEGAS.