Abstract :
Based on the emergent colonization and food-chain phenomena, behavioral ecology, a new kind of improved artificial-life algorithm is proposed. It is referred as food-chain algorithm that achieves optimization computation by mimicking the evolution of natural ecosystem and the information processing mechanism of natural organisms. Artificial food-chain system is firstly built in artificial world, and food-chain algorithm is designed in detail. Then the key parameters of the algorithm are secondly analyzed in detail. According to the simulation results, food-chain algorithm has outstanding performance in function optimization. Furthermore, food-chain algorithm has lifelike traits, for example, autonomy, evolution, adaptive, and robustness, and it adapts to solve the optimization problems of lifelike systems, such as, supply chain planning, distribution network designing, and etc. However, it is felt that more research must be done in order to reach a better understanding of how to design the parameters and rules of food chain algorithm
Keywords :
artificial life; ecology; optimisation; artificial life; behavioral ecology; food-chain algorithm; natural ecosystem; optimization computation; Algorithm design and analysis; Clustering algorithms; Computational modeling; Design optimization; Ecosystems; Environmental factors; Information analysis; Information processing; Organisms; Robustness;
