基于改進蟻群算法的船臺吊裝順序優(yōu)化技術研究
發(fā)布時間：2018-09-05 16:01
【摘要】：船舶業(yè)的發(fā)展對于國防建設和海洋主權(quán)完整有著重要的戰(zhàn)略意義,也為海上運輸、海洋資源勘探等提供了雄厚的技術支持。2010伊始,我國作為海洋大國,不但在航運總量上名列前茅,造船總量也躍居全球第一�！笆濉睍r期,全球經(jīng)濟利益格局動蕩,船舶市場競爭更加激烈,如何提高造船效率是各個船廠應對激烈競爭的重要挑戰(zhàn)之一。船臺吊裝是船舶建造的重要環(huán)節(jié),船臺(船塢)是船廠不可替代的重要設施資源,可以說船臺(船塢)的數(shù)量和尺寸最直接體現(xiàn)了船廠的生產(chǎn)能力。所以,通過對船臺(船塢)吊裝方案的最優(yōu)化,提高船臺(船塢)資源的利用率,對縮短船臺周期意義十分重大。 船臺吊裝順序優(yōu)化的問題是典型NP難題,僅通過人工經(jīng)驗很難獲得最佳的方案。對此,本文以蟻群優(yōu)化算法(ACO)為基礎,根據(jù)資源受限的調(diào)度理論(RCPSP),對船臺吊裝順序的優(yōu)化進行研究,具體內(nèi)容如下： 筆者首先對國內(nèi)外船臺調(diào)裝調(diào)度問題和RCPSP問題的研究動態(tài)做出詳細的總結(jié)梳理,同時基于ACO的基本原理,加之對于船臺吊裝特點的結(jié)合,對算法進行了改進,已達到該算法在優(yōu)化船臺吊裝順序過程中的性能要求,使之能夠發(fā)揮優(yōu)良效果。 給出船臺吊裝調(diào)度系統(tǒng)整體框架和功能,并對分段信息的數(shù)據(jù)結(jié)構(gòu)的和吊裝網(wǎng)絡圖的構(gòu)建進行了研究。 在多資源的約束條件下,以RCPSP資源有限-工期最短模型為基礎,結(jié)合船臺吊裝順序優(yōu)化的特點,建立單船船臺吊裝和多船船臺吊裝問題的數(shù)學模型,并給出了模型的改進蟻群優(yōu)化方法。 最后應用本文提出的改進蟻群算法分別優(yōu)化大連造船廠某船臺的單船吊裝和多船吊裝的方案,求解最短吊裝工期和最優(yōu)的吊裝計劃,并分析了資源的調(diào)度分配和算法的優(yōu)化性能,證明采用本方法來優(yōu)化船臺吊裝順序是合理可行的。
[Abstract]:The development of ship industry has important strategic significance for national defense construction and maritime sovereignty integrity, and also provides abundant technical support for marine transportation and marine resource exploration. At the beginning of 2010, our country is a large marine country. Not only in the total shipping volume, shipbuilding volume also leapt to the first in the world. During the 12th Five-Year Plan period, the global economic benefit pattern is turbulent, and the competition in ship market is more intense. How to improve shipbuilding efficiency is one of the important challenges for shipyards to cope with fierce competition. Platform hoisting is an important link in ship construction, and the shipyard (dock) is an irreplaceable important facility resource. It can be said that the quantity and size of the berth (dock) directly reflect the production capacity of the shipyard. Therefore, it is of great significance to shorten the period of the platform by optimizing the hoisting scheme of the platform (dock) and improving the utilization ratio of the resources of the platform (dock). The optimization of hoisting sequence is a typical NP problem, and it is difficult to obtain the best scheme only through artificial experience. In this paper, based on ant colony optimization algorithm (ACO) and resource constrained scheduling theory (RCPSP), the optimization of ship platform hoisting sequence is studied. The specific contents are as follows: firstly, the author summarizes and combs the research trends of the domestic and foreign ship platform adjustment and installation scheduling problem and RCPSP problem in detail, at the same time, based on the basic principle of ACO, in addition to the combination of the characteristics of the platform hoisting, The algorithm has been improved to meet the performance requirements of the algorithm in the process of optimizing the order of hoisting of the ship platform, so that it can play a good effect. The whole frame and function of the platform hoisting and dispatching system are given, and the construction of the data structure and the hoisting network diagram of the segmented information are studied. Under the constraint of multiple resources, the mathematical models of single ship platform hoisting and multi-ship platform hoisting are established on the basis of RCPSP resource finite-duration shortest model and combined with the characteristics of ship platform hoisting sequence optimization. An improved ant colony optimization method is presented. Finally, the improved ant colony algorithm proposed in this paper is applied to optimize the single ship hoisting and multi-ship hoisting of a shipyard in Dalian Shipyard, and to solve the shortest hoisting period and the optimal hoisting plan. The scheduling and allocation of resources and the optimization performance of the algorithm are analyzed. It is proved that this method is reasonable and feasible to optimize the order of ship platform hoisting.
【學位授予單位】：大連理工大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：U673.31;TP18
本文編號：2224763
[Abstract]:The development of ship industry has important strategic significance for national defense construction and maritime sovereignty integrity, and also provides abundant technical support for marine transportation and marine resource exploration. At the beginning of 2010, our country is a large marine country. Not only in the total shipping volume, shipbuilding volume also leapt to the first in the world. During the 12th Five-Year Plan period, the global economic benefit pattern is turbulent, and the competition in ship market is more intense. How to improve shipbuilding efficiency is one of the important challenges for shipyards to cope with fierce competition. Platform hoisting is an important link in ship construction, and the shipyard (dock) is an irreplaceable important facility resource. It can be said that the quantity and size of the berth (dock) directly reflect the production capacity of the shipyard. Therefore, it is of great significance to shorten the period of the platform by optimizing the hoisting scheme of the platform (dock) and improving the utilization ratio of the resources of the platform (dock). The optimization of hoisting sequence is a typical NP problem, and it is difficult to obtain the best scheme only through artificial experience. In this paper, based on ant colony optimization algorithm (ACO) and resource constrained scheduling theory (RCPSP), the optimization of ship platform hoisting sequence is studied. The specific contents are as follows: firstly, the author summarizes and combs the research trends of the domestic and foreign ship platform adjustment and installation scheduling problem and RCPSP problem in detail, at the same time, based on the basic principle of ACO, in addition to the combination of the characteristics of the platform hoisting, The algorithm has been improved to meet the performance requirements of the algorithm in the process of optimizing the order of hoisting of the ship platform, so that it can play a good effect. The whole frame and function of the platform hoisting and dispatching system are given, and the construction of the data structure and the hoisting network diagram of the segmented information are studied. Under the constraint of multiple resources, the mathematical models of single ship platform hoisting and multi-ship platform hoisting are established on the basis of RCPSP resource finite-duration shortest model and combined with the characteristics of ship platform hoisting sequence optimization. An improved ant colony optimization method is presented. Finally, the improved ant colony algorithm proposed in this paper is applied to optimize the single ship hoisting and multi-ship hoisting of a shipyard in Dalian Shipyard, and to solve the shortest hoisting period and the optimal hoisting plan. The scheduling and allocation of resources and the optimization performance of the algorithm are analyzed. It is proved that this method is reasonable and feasible to optimize the order of ship platform hoisting.
【學位授予單位】：大連理工大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：U673.31;TP18
【參考文獻】
相關期刊論文 前8條
1 續(xù)愛民;金燁;;大型散貨船船體吊裝順序優(yōu)化[J];東華大學學報(自然科學版);2006年05期
2 續(xù)愛民;金燁;;基于改進免疫遺傳算法的船臺吊裝網(wǎng)絡優(yōu)化[J];計算機集成制造系統(tǒng);2006年05期
3 續(xù)愛民;金燁;;基于共享合成時間Petri網(wǎng)的船舶吊裝過程建模[J];計算機集成制造系統(tǒng);2007年03期
4 張圣坤;;中國船舶工業(yè)現(xiàn)狀與發(fā)展趨勢[J];上海造船;2009年03期
5 ;工業(yè)和信息化部發(fā)布《船舶行業(yè)規(guī)范條件》[J];中國設備工程;2013年12期
6 劉建峰,秦士元,應長春;船體分段制造日程計劃的模擬與優(yōu)化[J];中國造船;2000年04期
7 劉寅東;資源受限的造船生產(chǎn)計劃編制專家系統(tǒng)[J];中國造船;2004年01期
8 ;國務院關于化解產(chǎn)能嚴重過剩矛盾的指導意見[J];中國環(huán)保產(chǎn)業(yè);2013年11期
相關博士學位論文 前1條
1 續(xù)愛民;船臺吊裝過程調(diào)度優(yōu)化關鍵技術研究[D];上海交通大學;2008年
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