Living space evolution: a new crowd based computational approach

摘要: Inspired by the life cycle and survival of fittest combined with consideration living space information, a new computational intelligence approach, namely, evolution (LSE), is presented. LSE has reflected two ideas. One evolution: under guidance offspring concentrate evolve continuously towards richer spaces. The other multiple reproduction: simulating real in nature, can reproduce within one generation. In this work, dynamic model, its flow, pseudocodes are described detail. A digital simulation shown procedure evolution. Furthermore, applications using employed to demonstrate effectiveness applicability. apply it optimization for continuous functions, use as an tool routing protocol wireless sensor network that discrete problem world. Research effective functions also applicable addition, special ability balance search process from exploration exploitation gradually.