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We use computational experiment method integrated multi-agent, advanced GA (Genetic Algorithm), and complex network to study the interactive evolution of e-commerce vendors and consumers. Key algorithms such as generating algorithm for consumer network, and advanced GA based on CA (Cellular Automata) for service vendor decisions, etc, are designed for the evolution behaviors of both e-commerce vendors and customers. We program the computational experiment system with NetLogo, and a simulation experiment is given. The experiment system can provide technique support to e-commerce firms in decision making with regards to service providing, consumer behavior management, etc.

An Agent-based Simulation System for Evolution of Interplay between E-Commerce Vendor and Consumers