Community Intelligence Algorithm For Engineering Structure Optimization

As the society transforms into conservation-oriented society , making a variety of optimization has been put on the agenda, engineering structural optimization is one important aspect. Along with the development of computer the engineering structural optimizations that unable to be realized before,now may realize,whereas the traditional optimization methods since the implementation of restrictions on the calculation can not meet modern requirements and the emergence of community intelligence algorithm makes a number of engineering structures optimized applications become possible. Community intelligence algorithm is a multi-point random search algorithm that based on community,which includes the evolutionary algorithm, immune algorithm, particle swarm optimization, ant colony algorithms, artificial fish-swarm algorithm and so on typical of intelligent algorithms. Community Intelligence algorithm has strong robustness and strong global search ability and local search capabilities, as well as Implicit parallelism,but also with no special requirements for the objective function and constraint function, with a "black box" function, which is able to overcome the shortage of the traditional optimization methods. Community Intelligence algorithm has a larger space for development, with a rich manifestation of the link between them in nature, making the integration between them well. Community intelligence algorithm is introduced into the optimization of engineering structures which will make the optimal design of engineering structures undergoing major changes. This article is for the purpose of in the introduction for realization of community intelligence algorithm and its application for optimum design of engineering structure and providing a reference for the community intelligence algorithm in the service of optimization of Engineering Structures.