计算机应用与软件
計算機應用與軟件
계산궤응용여연건
COMPUTER APPLICATIONS AND SOFTWARE
2015年
4期
234-238
,共5页
柔性作业车间调度%变邻域搜索%遗传算法
柔性作業車間調度%變鄰域搜索%遺傳算法
유성작업차간조도%변린역수색%유전산법
Flexible job shop scheduling%VNS%Genetic algorithm
针对柔性作业车间调度问题的特点,提出一种求解该问题的改进变邻域搜索算法。结合问题特点设计合理的编码方式,采用遗传算法进行最优解搜索,将搜索的结果作为变邻域搜索算法的初始解,以提高初始解的质量。为提高局部搜索能力,设计3种不同的邻域结构,构建邻域结构集以产生邻域解,保证邻域解的搜索过程中解的可行性以提高求解效率。针对一系列典型的柔性作业车间调度问题的实例,运用所设计的改进变邻域搜索算法进行测试求解,并将计算结果与文献中其他算法的测试结果进行比较,验证了所提出方法求解柔性作业车间调度问题的可行性和有效性。
針對柔性作業車間調度問題的特點,提齣一種求解該問題的改進變鄰域搜索算法。結閤問題特點設計閤理的編碼方式,採用遺傳算法進行最優解搜索,將搜索的結果作為變鄰域搜索算法的初始解,以提高初始解的質量。為提高跼部搜索能力,設計3種不同的鄰域結構,構建鄰域結構集以產生鄰域解,保證鄰域解的搜索過程中解的可行性以提高求解效率。針對一繫列典型的柔性作業車間調度問題的實例,運用所設計的改進變鄰域搜索算法進行測試求解,併將計算結果與文獻中其他算法的測試結果進行比較,驗證瞭所提齣方法求解柔性作業車間調度問題的可行性和有效性。
침대유성작업차간조도문제적특점,제출일충구해해문제적개진변린역수색산법。결합문제특점설계합리적편마방식,채용유전산법진행최우해수색,장수색적결과작위변린역수색산법적초시해,이제고초시해적질량。위제고국부수색능력,설계3충불동적린역결구,구건린역결구집이산생린역해,보증린역해적수색과정중해적가행성이제고구해효솔。침대일계렬전형적유성작업차간조도문제적실례,운용소설계적개진변린역수색산법진행측시구해,병장계산결과여문헌중기타산법적측시결과진행비교,험증료소제출방법구해유성작업차간조도문제적가행성화유효성。
Aiming at the characteristics of flexible job shop scheduling problem (FJSP),we propose an improved variable neighbourhood search (IVNS)algorithm to solve it.Combining the characteristics of the problem we design rational coding means and adopt the genetic algorithm for optimum solution search,as well as take the search result as an initial solution of variable neighbourhood search algorithm to improve the quality of initial solution.To improve the capabilities of local search,we design three different neighbourhood structures and construct neighbourhood solution set for producing the neighbourhood solution,thus ensure the feasibility of the neighbourhood solution in search process so as to improve the efficiency of solution.The proposed IVNS is applied to a series of typical FJSPs for test and solution,and the comparison is also made between the calculation results and the test results of other algorithms in literature,the feasibility and effectiveness of the proposed approach in solving FJSP are verified as well.