化工学报
化工學報
화공학보
JOURNAL OF CHEMICAL INDUSY AND ENGINEERING (CHINA)
2015年
5期
1838-1843
,共6页
叶梦晴%解新安%李璐%李雁
葉夢晴%解新安%李璐%李雁
협몽청%해신안%리로%리안
用水网络%多杂质%间歇%遗传算法
用水網絡%多雜質%間歇%遺傳算法
용수망락%다잡질%간헐%유전산법
water network%multi-contaminant%batch%genetic algorithm
针对多杂质间歇用水网络优化设计问题,建立了以新鲜水用量最小为目标的混合整数非线性规划(MINLP)模型,并提出基于矩阵编码的遗传算法和信赖域序列二次规划(trust region sequential quadratic programming, TRSQP)法相结合的求解策略。本文采用矩阵编码方法为时间条件约束提供了方便,从而使用水单元之间水回用关系更加清晰明确;采用基于矩阵编码的遗传算法对整数变量进行优化,采用 TRSQP 法对连续变量进行优化,集成应用两种方法进行优化求解,从而获得MINLP模型的最优解;并借助MATLAB软件进行编程并实现。利用本文所提出的求解方法和策略对文献中2个典型案例进行求解,求解结果均优于文献数据。实例计算表明,本文所提求解方法是可行的。
針對多雜質間歇用水網絡優化設計問題,建立瞭以新鮮水用量最小為目標的混閤整數非線性規劃(MINLP)模型,併提齣基于矩陣編碼的遺傳算法和信賴域序列二次規劃(trust region sequential quadratic programming, TRSQP)法相結閤的求解策略。本文採用矩陣編碼方法為時間條件約束提供瞭方便,從而使用水單元之間水迴用關繫更加清晰明確;採用基于矩陣編碼的遺傳算法對整數變量進行優化,採用 TRSQP 法對連續變量進行優化,集成應用兩種方法進行優化求解,從而穫得MINLP模型的最優解;併藉助MATLAB軟件進行編程併實現。利用本文所提齣的求解方法和策略對文獻中2箇典型案例進行求解,求解結果均優于文獻數據。實例計算錶明,本文所提求解方法是可行的。
침대다잡질간헐용수망락우화설계문제,건립료이신선수용량최소위목표적혼합정수비선성규화(MINLP)모형,병제출기우구진편마적유전산법화신뢰역서렬이차규화(trust region sequential quadratic programming, TRSQP)법상결합적구해책략。본문채용구진편마방법위시간조건약속제공료방편,종이사용수단원지간수회용관계경가청석명학;채용기우구진편마적유전산법대정수변량진행우화,채용 TRSQP 법대련속변량진행우화,집성응용량충방법진행우화구해,종이획득MINLP모형적최우해;병차조MATLAB연건진행편정병실현。이용본문소제출적구해방법화책략대문헌중2개전형안례진행구해,구해결과균우우문헌수거。실례계산표명,본문소제구해방법시가행적。
For the multi-contaminants batch water network optimization problem, a mixer-integer nonlinear programming model with the objective of minimum fresh water usage was established. Meanwhile, a solution strategy combined with matrix encoding genetic algorithm and trust region sequential quadratic programming (TRSQP)was proposed. In this paper, the matrix encoding method is easy to establish scheduling module, so the water reused relationship between the water units is more clearly defined.The integer variables was optimized by matrix encoding genetic algorithm and the continuous variables was optimized by TRSQP, the optimal strategy integrated the two methods to achieve the solution of MINLP model with the MATLAB software. The proposed method was used to solve two typical examples and the results obtained were superior to those in literature, which demonstrated that the approach introduced by this paper was effective.