VIRUS-EVOLUTIONARY GENETIC ALGORITHM FOR A SELF-ORGANIZING MANUFACTURING SYSTEM

A virus-evolutionary genetic algorithm (VEGA) based on virus theory of evolution is proposed. The VEGA is composed of a host population of c andidate solutions and a virus population of substrings of host indivi duals. Two new operators are introduced: (1) a reverse transcription o perator which overwrites a virus' string on a host's string and, (2) a transduction operator generating a new virus from a host string. In t his paper, the VEGA is applied to the traveling salesman problem. The VEGA is also applied to a pallet location problem of a press machining line in a self-organizing manufacturing system, in which a process ef fectively self-organizes according to other processes. Simulation resu lts show the effectiveness of the proposed algorithm and that the viru s population possesses effective schemata. Copyright (C) 1996 Elsevier Science Ltd