The Research Of Barge's Ballast Optimization Based On Improved Genetic Algorithms

With marine resources being exploited and utilized, some large marine structures, especially for ocean platforms, start to come out in large quantities. Explorating crude oil can not do without ocean platform. Generally, the large ocean platform is transported to the job site and then launched operation by use of barge, at the same time, the barge is a useful tool which is used to launch ocean platforms. At present,there are little the studies on barge's ballast, and its technological development, which is needed to improved on the basis of the current achievement, is still not mature.After large marine structure completion, barge's ballast is its usual launch way. The principle of barge's ballast can be expressed as follows: In order to align dock's slipway and barge's slipway, we may change barge's floating condition by means of regulation of the ballast water. Under the required floating condition, operators pull the large structure on the barge. Formerly, barge'ballast is completed rely on operators'experience. Just the dependency results to inefficient and imprecise.With the increase of large marine structures in recent years, the technology of barge's ballast is increasingly important. For the purpose of controlling the process that product enter onto barge, some optimization about barge's ballast come into being. In the context of this project, this paper proposes a new solution method which optimizes the result of program taking advantage of improved genetic algorithm. The content of this paper mainly related to following aspects: the calculation of barge's floating condition, strength verification, improvement of genetic algorithm, and the program optimization about barge's ballast. Barge's stowage is based on adjusting floatation by statics and basic knowledge of the ship. In order to complete stowage sooner, this paper applys improved GA, optimizing ballast water's distribution, which comes up with all-cross and distributed dynamic penalty function method and so on. The results show that plans applied improved GA are better than basic plans in time and efficiency. Improved GA to optimize barge's stowage can meet the engineering requirements and save the work time.