Optimization Investment of Football Lottery Game Online Combinatorial Optimization

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Optimization Investment of Football Lottery Game Online Combinatorial Optimization

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27 :26788 (27) 2926,2, 2, 3 (, 76 ;2, 749 ; 3, 64) :, ;,,, ;,, : ; ; ; ; ; : TB4 : A Optimization Investment of Football Lottery Game Online Combinatorial Optimization HU Mao2lin,2, XU Yin2feng 2, XU Wei2jun 3 (Department of Mathematics, Ningxia Normal College, Guyuan 76,China ; 2School of Management, Xi an Jiaotong University, Xi an 749,China ; 3School of Business Administration, South China University of Technology, Guangzhou 64,China) Abstract : Based on the compensating rate in Europe lottery, we set up the mathematics model of the football lottery that is the dark2horse analyses of the win2and2defeat game Combining the numerical analysis, we use the online algorithm to analyze the disadvantages of the traditional lottery investment method that is the multimode strategy, find that the competitive ratio of the multimode strategy is larger and the risk is higher Further, we propose the method of the dark2horse expectancy strategy and optimize the multimode strategy by the dark2horse index so as to reduce the competitive ratio and risk degree of the multimode strategy Key words : football lottery ; online algorithm ; multimode strategy ; dark2horse expectancy strategy ; competitive ratio ; risk degree,,,, (offline),,? (online), :, ;,, :22222 : (973,7473) ; (247) : (963 - ),,,,, :, E2mail : humaolin2 @63 com ; (962 - ),,,, ; (97 - ),,,, :

2 27,,? [,2 ],,, ( ), ALG ( ), I = { i, i 2,, i k } O = { o, o 2,, o k } C ALG ( I), C OPT ( I), I I : C ALG ( I) C OPT ( I) +, ALG, ; =, ALG [,2 ] 2,, 2 3, 24 4 : 4, 3 : 3, ; ;,, 3, ( ) 4,, 2,, % : 4 ; : 3 ; : 2 ; [3] 3,,, :,,,,,,, :, 3 4,,,,,, :,, [4 6 ], :,,, ;,,, ;, 2, 3, 4,,, [7 ], (, ) William Hill

2 H i Q i x i y i z i, Π i { j j 3, j N}, : x i y i or y i z i i H i vs Q i x i ; x i = y i = z i, y i, z i, y i, z i ( i 3),, i 2 i H i vs Q i x i, y i, z i, max{ x i, z i }, x i z i, ; y i, 3 i H i vs Q i x i, y i, z i, max{ x i, z i } <, x i z i, ; y i, : {3,,} 32, a a 2 a 3, a i {3,,},, s = a a 2 a 3, s i = a i a i2 a i3 ; 3 3, {3,,} 32, S I = { s i s i = a i a i2 a i3, a ij {3,,}, j =,2,,3} S I,, S ALG = { s i s i = a i a i2 a i3, a ij A j < {3,,}}, S ALG S ALG 4 s = a a 2 a 3 s 2 = a 2 a 22 a 23, { i a i - a 2 i, i 3}, d 2 = s - s 2 s i = a i a i2 a i3, l i, a ij, l i,2 a ij, l i,3 a ij, l i,4 a ij, l i,, l i,2, l i,3, l i,4, ; S ALG = { s i s i = a i a i2 a i3, a ij A j < {3,,}}, max s i S ALG l i, j = l j ( j =,2,3,4), S ALG l, l : l, l 2, l 3, l 4 6 S ALG = { s i s i = a i a i2 a i3, a ij A j < {3,,}}, s = a a 2 a 3, min{ d i d i = s i - s, s i S} = d, 3 - d ; d i = s i - s = d s i S ALG, S OPT,, S OPT = ; = S ALG S OPT = S ALG 7 S ALG = { s i s i = a i a i2 a i3, a ij A j < {3,,}}, R = - S ALG S ALG,, R = S ALG 3,,, RIS : m, ( ) ; 3 - m,, 2 ( ) 3 ( ),, S RIS m, m, m 2

22 27 : S RIS = 2 m m 3 2 ) l = 3 - m 2) = S RIS = 2 m m 3 2 3) RIS, R = - S RIS S RIS = - 2 m m 3 2 3 3 2 m m 3 2 = - R = S RIS = 2 m m 3 2 2 m 3 3- m 2 m m 2 3 2,, m, m 2,,,,,, ; m, m 2,,,,,,,,, : 39, 66 ( 2) [8 ] 2 2 62 2 9 2 (3) 2 AC 3 3 4 3 3 3 2 87 2 2 () 4 3 4 2 8 2 () 2 6 2 8 2 6 3 () 6 2 2 2 87 3 3 () 7 3 3 2 2 (3) 3 8 36 3 7 8 3 3 9 2 2 3 2 87 3 () 3 83 3 3 3 6 3 () 3 8 3 3 3 7 3 () 2 4 3 6 7 3 3 3 9 3 3 7 3 () s = 33333, 7 :,2,4 :34276, :79 [9 ] S RIS = { a 3 a 3 a 4 a a 6 a 7 3 a 9 a a 3 a 3 a, a, a 6, a 7, a 3 {3,,} ; a 3, a 4 {,} ; a 9, a {3,} ; a {3,}} ; 3,, S OPT = {333333}, 6 :2,4,,,7,8 ; = S RIS = 2 3 = 7776 ; R = - S RIS S RIS = - 2 3 8 2 3 7736 ; 2 S RIS = 2, ( ), 79, - 7647 4 7776 33333 : 333333,,, 777

23, 777 7776, 2 3 3 ; ; : 33333333333, 33333333333, 33333333333, 33333333333 ; 33333,3333,3333,333 ; 3333,333,,,, S RIS, l : l, l 2, l 3, l 4 ; S RIS l, l 2, l 3, l 4,,,, ;,,,,,,, l 3,,,, S RIS,, S RIS,, ;, : S RIS ( l l, l 2, l 3, l 4 ), - S RIS S RIS, : k k,, k 3, (, k = k + + k 3 + (6 k 9) ), k l, l 2, k 3 l 3, l 4 S RIS k,, k 3, S CAS ( k k,, k 3, ) ) S CAS ( k k,, k 3, ) 2) - S CAS ( k k,, k 3, ) ( k k,, k 3, ) S CAS ( k k,, k 3, ), S CAS S CAS ( k k,, k 3, ) S CAS ( k k,, k 3, ) : S RIS ( l l, l 2, l 3, l 4 ), 2 m,, l 2,, l 4 ; 3 m 2,, l 2,, l 4, S CAS ( k k,, k 3, ) ( x < y, x y = ) ) S RIS ( l l, l 2, l 3, l 4 ) k a k, l 2, k l 2 ;

24 27 b k -,, l 2 -, ; k - l 2 - ; c, k, l 2 - k, l 2 - k k, k k l 2 + k - l 2 - l 2 - k k 2) ) k 3 ),) k 3 ),2), = k 3 l 4 + k 3 - S CAS ( k k,, k 3, ) k k 3 l 2 + k - l 4 + k 3 - l 4 - l 2 - l 4 - l 4 - k 3 k 3 l 2 - k k l 4 - k 3 k 3 S RIS (,,7,8) 7776 k, k,, k 3, k = = ;, k = 6, k 3 = 2, = 4 S RIS (,,7,8), = 2 9,, 3 (),3 (), =,,6,7,3, (3),3 (),3 (), (3),3 () ; l 4 = 7,3,4,,6,7,,3, (3), (), (),3 (),3 (), (3),3 (),3 (), k 3 2 l 4 = 2 2 l 4-2, S CAS (6,,2,4) = 2 2 = 2 7 7 4 = 3, k 3-2 4 + 2 4 = 6 4 + 2 2 l 4 - = 2 4 = 23 6 4 =,, 23, 7776, ; = S CAS (6,,2,4) = 23, R = - S CAS (6,,2,4) 2 S CAS = 47, 79, 743 S CAS (6,,2,4) 23, [ ],,,,,, ( 3 )

3 27,, : [ ] Choobineh F, Branting D A simple approximation for semivariance [J ] European Journal of Operational Research, 986, 27() : 364-37 [2 ] Schilling E G,Nelson P R The effect of non2normality on the control limits of X2bar charts [J ] Journal of Quality Technology, 976, 8(3) :83-88 [3 ] Schneider H, Kasperski W J [J ],,,997, (2) :7-23 Schneider H, Kasperski W J Control charts for skewed and cut tail data [J ] Liu Yumin, Ma Yizhong, trans Foreign Quality Information, 997, (2) :7-23 [4 ] Bai D S,Choi I S X2bar and R control charts for skewed populations [J ] Journal of Quality Technology, 99, 27(3) :2-3 [ ] Youn Min Chou, Alan M Polansky Transforming non2normal data to normality in statistical process control [J ] Journal of Quality Technology, 998, 3(2) :33-4 [6 ] Bert Keats J, John D Miskulin, George C Runger Statistical process control scheme design [J ] Journal of Quality Technology, 99,27() :23-246 [7 ] William H Woodall Controversies and contradictions in statistical process control (with discussion) [J ] Journal of Quality Technology, 2,() : - 24 ( 24 ), :,,,,, ;, ;,, : [ ] Manasse M S,McGeoch L A,Sleator D D Competitive algorithms for server problems[j ]Journal of Algorithms,99,(2) :28-23 [2 ] Du D Z k2server problem and competitive algorithms[j ] Mathematics in Practice and Theory (in Chinese),99, (4) :36-4 [3 ] Center of Lottery Game Rule of Football Lottery (in Chinese) [ EBΠOL ] http :ΠΠtoto lottery gov cnπ,23 3 2 [4 ] Algoet P Universal schemes for prediction,gambling,and portfolio selection[j ] Annals of Probability,992,2 :9-94 [ ] Cesa2Bianchi N,Freund Y,Helmbold D P,Haussler D,Schapire R,Warmuth M K How to use expert advice[j ]Journal of the ACM, 997,44(3) :427-48 [6 ] Breiman L Optimal Gambling Systems for Favorable Games [ C ]ΠΠProceeding of the Fourth Berkeley Symposium on Mathematical Statistics and Probability,Volume,pp 6-78 Univ of California Press,Berkeley,96 [7 ] Xing S Europe Loss Ratio (in chinese) [ EBΠOL ] http :ΠΠtoto lottery gov cnπ,23 3 7 [8 ] Zhang Q The Forecast of 39th Football Lottery[ Z]Journal of Lottery (in Chinese),23, (66) :2 - [9 ] Zhang Q The Results of 39th Football Lottery[ Z]Journal of Lottery (in Chinese),23, (67) :2 -