Monday, September 25, 2017

A Fractional Programming Problem and Its Integer Version

Jsun Yui Wong

I.  Tsai's Example 3 [20, p. 408]

The computer program listed below seeks to solve the following problem from page 408 of Tsai [20].

Minimize        (2 + X(5)) / (X(1) * X(2) * (2 * X(3) + X(4))) - X(5) ^ .5 * X(3) ^ 1.5 + 2 * X(2) + X(4)
   
subject to

   8 / (X(1) * (X(2) + 3 * X(4)) ^ 2) + 1 / (X(5) ^ 3)<=2

  - 2 * X(1) + X(3) - X(4)<=10

   X(1) + X(3) + .5 * X(5)<=8

   0.1<X(1), X(2), X(3), X(4), X(5)<=10.

"This program is a highly NFP program unsolvable by current fractional programming methods," Tsai [20, p. 408].

0 DEFDBL A-Z

2 DEFINT K

3 DIM B(99), N(99), A(99), H(99), L(99), U(99), X(1111), D(111), P(111), PS(33)
12 FOR JJJJ = -32000 TO 32000 STEP .01

    14 RANDOMIZE JJJJ
    16 M = -1D+37
    70 FOR J44 = 1 TO 5

        72 A(J44) = .1 + RND * 9.9


    73 NEXT J44


    128 FOR I = 1 TO 1000


        129 FOR KKQQ = 1 TO 5

            130 X(KKQQ) = A(KKQQ)
        131 NEXT KKQQ
        133 FOR IPP = 1 TO (1 + FIX(RND * 4))


            181 J = 1 + FIX(RND * 5)

            183 r = (1 - RND * 2) * A(J)
            187 X(J) = A(J) + (RND ^ (RND * 10)) * r

        191 NEXT IPP

        196 FOR J99 = 1 TO 5

            201 IF X(J99) < .1 THEN 1670
            203 IF X(J99) > 10 THEN 1670
        204 NEXT J99

        305 X(6) = 2 - 8 / (X(1) * (X(2) + 3 * X(4)) ^ 2) - 1 / (X(5) ^ 3)


        306 X(7) = 10 + 2 * X(1) - X(3) + X(4)


        307 X(8) = 8 - X(1) - X(3) - .5 * X(5)

        325 FOR J99 = 6 TO 8

            327 XX(J99) = X(J99)



            330 IF X(J99) < 0 THEN X(J99) = X(J99) ELSE X(J99) = 0

        331 NEXT J99



        357 POBA = -(2 + X(5)) / (X(1) * X(2) * (2 * X(3) + X(4))) + X(5) ^ .5 * X(3) ^ 1.5 - 2 * X(2) - X(4) + 1000000 * (X(6) + X(7) + X(8))


        466 P = POBA

        1111 IF P <= M THEN 1670


        1452 M = P
        1454 FOR KLX = 1 TO 8


            1459 A(KLX) = X(KLX)
        1460 NEXT KLX
        1557 GOTO 128

    1670 NEXT I


    1889 IF M < 22.82 THEN 1999

    1900 PRINT A(1), A(2), A(3), A(4), A(5)

    1902 PRINT A(6), A(7), A(8)

    1912 PRINT M, JJJJ

1999 NEXT JJJJ

This BASIC computer program was run with qb64v1000-win [24].  The complete output through JJJJ  =  -31999.52000000008 is shown below:

.294624862833304           .9357350062234917         5.932980600348823
.9232544671551575         3.544789073502854
0       0       0
22.84117291174397         -31999.55000000007

.295980801658799           .8495190820457937         5.999493655132955
.9500308216052291         3.409051086414363
0       0       0
22.8220604982404         -31999.52000000008

Above there is no rounding by hand; it is just straight copying by hand from the monitor screen.

On a personal computer with a Pentium Dual-Core CPU E5200 @2.50GHz, 2.50 GHz, 960 MB of RAM and qb64v1000-win [24], the wall-clock time for obtaining the output through JJJJ=   -31999.52000000008 was 15 seconds, including time for creating .EXE file.


II.  A First Look at the Same Example 3 of Tsai [20, p. 408] Plus the Constraint That X(i)=1, 2, 3,..., 10 Where i=1, 2, 3, 4, 5

In the following computer program for this integer fractional nonlinear programming example, one notes line 199, line 327, and line 1456, which are 199 X(J99) = INT(X(J99)), 327 XX(J99) = X(J99), and 1456 XXX(KLX) = XX(KLX), respectively.

0 DEFDBL A-Z

2 DEFINT K

3 DIM B(99), N(99), A(99), H(99), L(99), U(99), X(1111), D(111), P(111), PS(33)
12 FOR JJJJ = -32000 TO 32000 STEP .01

    14 RANDOMIZE JJJJ
    16 M = -1D+37
    70 FOR J44 = 1 TO 5

        72 A(J44) = .1 + RND * 9.9


    73 NEXT J44


    128 FOR I = 1 TO 1000


        129 FOR KKQQ = 1 TO 5

            130 X(KKQQ) = A(KKQQ)
        131 NEXT KKQQ
        133 FOR IPP = 1 TO (1 + FIX(RND * 4))


            181 J = 1 + FIX(RND * 5)

            183 r = (1 - RND * 2) * A(J)
            187 X(J) = A(J) + (RND ^ (RND * 10)) * r

        191 NEXT IPP

        196 FOR J99 = 1 TO 5

            199 X(J99) = INT(X(J99))

            201 IF X(J99) < .1 THEN 1670
            203 IF X(J99) > 10 THEN 1670
        204 NEXT J99

        305 X(6) = 2 - 8 / (X(1) * (X(2) + 3 * X(4)) ^ 2) - 1 / (X(5) ^ 3)


        306 X(7) = 10 + 2 * X(1) - X(3) + X(4)


        307 X(8) = 8 - X(1) - X(3) - .5 * X(5)

        325 FOR J99 = 6 TO 8

            327 XX(J99) = X(J99)



            330 IF X(J99) < 0 THEN X(J99) = X(J99) ELSE X(J99) = 0

        331 NEXT J99



        357 POBA = -(2 + X(5)) / (X(1) * X(2) * (2 * X(3) + X(4))) + X(5) ^ .5 * X(3) ^ 1.5 - 2 * X(2) - X(4) + 1000000 * (X(6) + X(7) + X(8))




        466 P = POBA

        1111 IF P <= M THEN 1670


        1452 M = P
        1454 FOR KLX = 1 TO 8


            1456 XXX(KLX) = XX(KLX)

            1459 A(KLX) = X(KLX)
        1460 NEXT KLX
        1557 GOTO 128

    1670 NEXT I


    1889 IF M < 18 THEN 1999

    1900 PRINT A(1), A(2), A(3), A(4), A(5)

    1902 PRINT A(6), A(7), A(8)

    1903 PRINT XXX(6), XXX(7), XXX(8)

    1912 PRINT M, JJJJ

1999 NEXT JJJJ

This BASIC computer program was run with qb64v1000-win [24].  The complete output through JJJJ  =  -31999.93000000001 is shown below:

1       1       5       1       4    
0       0       0
1.484375         8         0
18.81522522954335              -31999.96000000001

1       1       5       1       4    
0       0       0
1.484375         8         0
18.81522522954335              -31999.93000000001

Above there is no rounding by hand; it is just straight copying by hand from the monitor screen.  

On a personal computer with a Pentium Dual-Core CPU E5200 @2.50GHz, 2.50 GHz, 960 MB of RAM and qb64v1000-win [24], the wall-clock time for obtaining the output through JJJJ=  -31999.93000000001 was 8 seconds--most of these seconds were for creating .EXE file.

Acknowledgment

I would like to acknowledge the encouragement of Roberta Clark and Tom Clark.

References

[1]  Yuichiro Anzai (1974).  On Integer Fractional Programming. Journal Operations Research Society of Japan, Volume 17, No. 1, March 1974, pp. 49-66.
www..orsj.or.jp/~archiv/pdf/e_mag/Vol.17_01_049.pdf.

[2]  Sjirk Boon. Solving systems of nonlinear equations. Sci. Math. Num-Analysis,1992, Newsgroup Article 3529.     .

[3]  H. Chickermane, H. C. Gea (1996)  Structural optimization using a new local approximation method, International Journal for Numerical Methods in Engineering, 39, pp. 829-846.

[4]  Piya Chootinan, Anthony Chen (2006).  Constraint Handling in genetic algorithms using a gradient-based repair method.  Computers and Operations Research 33 (2006) 2263-2281.

[5]  Amir Hossein Gandomi, Xin-She Yang, Amir Hossein Alavi (2011).  Mixed variable structural optimization using Firefly Algorithm, Computers and Structures 89 (2011) 2325-2336.

[6]  Amir Hossein Gandomi, Xin-She Yang, Siamak Taratahari, Amir Hossein Alavi (2013).  Firefly Algorithm with Chaos, Communications in Nonlinear Science and Numerical Sinulation 18 (2013) 89-98.

[7]  Amir Hossein Gandomi, Xin-She Yang, Amir Hossein Alavi (2013).  Cuckoo search algorithm:  a metaheuristicapproach to solve structural optimization problem.  Engineering with Computers (2013) 29:17-35.

[8]  Amir Hossein Gandomi, Xin-She Yang, Amir Hossein Alavi (2013).  Erratum to:  Cuckoo search algorithm:  a metaheuristicapproach to solve structural optimization problem.  Engineering with Computers (2013) 29:245.

[9]  Han-Lin Li, Jung-Fa Tsai (2008).  A distributed computational algorithm for solving portfolio problems with integer variables.  European Journal of Operational Research 186 (2008) pp.882-891.

[10]  Ming-Hua Lin, Jung-Fa Tsai (2014).  A deterministic global approach for mixed-discrete structural optimization, Engineering Optimization  (2014) 46:7, pp. 863-879.9

[11]  Harry Markowitz  (1952).   Portfolio Selection.   The Journal of Finance  7 (2008) pp. 77-91.

[12]  Mathworks. Solving a mixed integer engineering design problem using the genetic algorithm - MATLAB & Simulink Example.
https://www.mathworks.com/help/gads/examples/solving-a-mixed-integer-engineering-design-problem-using-the-genetic-algorithm.html/

[13]  Ong Kok Meng, Ong Pauline, Sia Chee Kiong, H. A. Wahab, N. Jafferi. Application of Modified Flower Pollination Algorithm on Mechanical Engineering Design Problem.  IOP Conf. Series: Materials Science and Engineering 165 (2017) 012032.

[14]  Microsoft Corp., BASIC, Second Edition (May 1982), Version 1.10. Boca Raton, Florida: IBM Corp., Personal Computer, P. O. Box 1328-C, Boca Raton, Florida 33432, 1981.

[15]  Sinan Melih Nigdeli, Gebrail Bekdas, Xin-She Yang (2016). Application of the Flower Pollination Algoritm in Structural Engineering. Springer International Publishing Switzerland 2016.  www.springer.com/cda/content/document/cda.../

[16]  Gideon Oron (1979) An algorithm for optimizing nonlinear contrained zero-one problems to improve wastewater treatment, Engineering Optimization, 4:2, 109-114.

[17]  H. S. Ryoo, N. V. Sahinidis (1995).  Global optimization of nonconvex NLP and MINLP with applications in process design. Computers and Chemical Engineering Vol. 19 (5) (1995) pp. 551-566.

[18]  c. R. Seshan, V. G. Tikekar (1980)  Algorithms for Fractional Programming.  Journal of the Indian Institute of Science 62 (B), Feb. 1980, Pp. 9-16.

[19]  P. B. Thanedar, G. N. Vanderplaats (1995).  Survey of discrete variable optimization for structural design,  Journal of Structural Engineering, 121 (2), 301-306 (1995).

[20]  Jung-Fa Tsai (2005).  Global optimization of nonlinear fractional programming problems in engineering design. Engineering Optimization (2005) 37:4, pp. 399-409.

[21]  Jung-Fa Tsai, Ming-Hua Lin (2007).  Finding all solutions of systems of nonlinear equations with free variables.  Engineering Optimization  (2007) 39:6, pp. 649-659

[22]  Jung-Fa Tsai, Ming-Hua Lin, Yi-Chung Hu (2007).  On generalized geometric programming problems with non-positive variables.  European Journal of Operational Research 178 (2007) pp. 10-19.

[23]  Jung-Fa Tsai, Ming-Hua Lin (2008).  Global optimization of signomial mixed-integer nonlinear programming with free variables.  Journal of Global Optimization  (2008) 42  pp. 39-49.

[24] Wikipedia, QB64, https://en.wikipedia.org/wiki/QB64.    

[25] Jsun Yui Wong (2012, April 12).  The Domino Method of General Integer Nonlinear Programming Applied to a Nonlinear Fractional Programming Problem from the Literature. http://myblogsubstance.typepad.com/substance/2012/04/12/

[26] Xin-She Yang, Christian Huyck, Mehmet Karamanoglu, Nawaz Khan (2014).  True global optimality of the pressure vessel design problem:  A benchmark for bio-inspired optimisation algorithms.
https://arxiv.org/pdf/1403.7793.pdf.

[27]  Xin-She Yang, Amir Hossein Gandomi (2012).  Bat algorithm: a novel approach for global engineering optimization.  Engineering Computations: International Journal for Computer-Aided Engineering and Software, Vol. 20,No. 5, 2012, pp. 461-483.

[28]  B. D. Youn, K. K. Choi (2004). A new responsesurface methodology for reliability-based design optimization.Computers and Structures 82 (2004) 241-256.

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