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  • 學位論文

確定性演算法應用於工程最佳化問題

A Deterministic Approach for Solving Engineering Optimization Problems

指導教授 : 蔡榮發
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摘要


Mixed-integer nonlinear programming (MINLP) problems have been intensively studied in the last decades due to its theoretical interest and its wide applicability. Several strategies and software for solving nonconvex MINLP problems have been proposed. Although many optimization approaches have been developed for MINLP problems, these methods can only find a local or approximate solution or use too many extra binary variables and constraints to reformulate the problem. Therefore, this study proposes a method for solving an MINLP problem in engineering optimization to obtain a global solution. The MINLP problem is transformed into a convex mixed-integer program by the convexification strategies and piecewise linearization techniques. A global optimum of the MINLP problem can then be found within the tolerable error. Numerical examples are also presented to demonstrate the effectiveness of the proposed method.

關鍵字

工程問題 線性化

並列摘要


Mixed-integer nonlinear programming (MINLP) problems have been intensively studied in the last decades due to its theoretical interest and its wide applicability. Several strategies and software for solving nonconvex MINLP problems have been proposed. Although many optimization approaches have been developed for MINLP problems, these methods can only find a local or approximate solution or use too many extra binary variables and constraints to reformulate the problem. Therefore, this study proposes a method for solving an MINLP problem in engineering optimization to obtain a global solution. The MINLP problem is transformed into a convex mixed-integer program by the convexification strategies and piecewise linearization techniques. A global optimum of the MINLP problem can then be found within the tolerable error. Numerical examples are also presented to demonstrate the effectiveness of the proposed method.

參考文獻


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Belegundu, A.D. A study of mathematical programming methods for structural optimization. Department of Civil and Environmental Engineering, University of Iowa, Iowa City, Iowa; 1982.
Björk, K.M., Lindberg, P.O., Westerlund, T. Some convexifications in global optimization of problems containing signomial terms, Computers and Chemical Engineering2003;27:669-679, 2003.
Borchers, B., Mitchell, J.E. An improved branch and bound algorithm for mixed integer nonlinear programs, Computers and Operations Research 1994;21:4:359-367.
Cardoso, M.F., Salcedo RL, Azevedo SF, Barbosa D. A simulated annealing approach to the solution of MINLP problems. Computers and Chemical Engineering 1997;21:1349–64.

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