Human based genetic algorithm

Abstract

In this paper, a new class of genetic algorithms (GA) is presented. It is based on the idea of outsourcing, which is a popular trend in business today. In human based genetic algorithm (HBGA), all primary genetic operators are outsourced, i.e. delegated to outside human agents. A totally outsourced genetic algorithm uses both human evaluation and human ability of innovation. It is a multi-agent environment and the mediator of communication between multiple heterogenous agents. The advantage of this approach is its ability to address complex problems in which it is hard, not only to evaluate individuals, but even to find a good representation for them. These qualities allow HBGA to process flows of information without knowledge of its particular structure and representation. The suggested conceptual approach can also be used as a general model and a way of thinking about different kinds of genetic algorithms.