Table 5 Solutions of proposed method.

From: Neutrosophic goal programming technique with bio inspired algorithms for crop land allocation problem

Crop

PSO

GWO

SGO

Linear

Exp

Hyper

Linear

Exp

Hyper

Linear

Exp

Hyper

\(y_{1}\)

0

0

1.1176

0

1.1666

0

0.2968

1.4136

0.7453

\(y_{2}\)

14.0541

14.0541

12.2115

13.988

12.1267

12.2699

13.5634

11.7020

12.8229

\(y_{3}\)

0

0

0

0

0

0

0

0

0

\(y_{4}\)

1

1

0

1.1062

0.1095

1

2.2304

0

1.6446

\(y_{5}\)

12.2642

12.2642

13.9116

12.0108

12.9788

13.0228

9.9528

12.5923

10.2618

\(y_{6}\)

0.1685

0.1685

0.17

0.1966

0.9493

0.3038

0.5045

0.3

1.2488

\(y_{7}\)

0

0

0

0

0

0

0

1.0915

0

\(y_{8}\)

0

0

0

0

0

0

0

0.5517

0

\(y_{9}\)

8.8136

8.8136

8.8132

8.7493

8.7771

8.6962

8.3099

8.5851

8.4844

\(y_{10}\)

0

0

0

0

0

0.1975

0

0

0

\(y_{11}\)

0

0

0

0

0

0

1.1367

0

0.6929

Max \(O_{1}\)

145926.3

145926.3

145528.8

145146.6

145493.5

144984.4

142463.8

144772.8

143980.2

Max \(O_{2}\)

4651397

4651397

4623190

4615950

4559832

4552538

4431406

4488069

4424082

Min \(O_{3}\)

234000.5

234000.5

233996.6

232760.6

233619.4

230001.9

233960.5

233241.7

233583.8

Min \(O_{4}\)

135768.1

135768.1

135263

134574.5

131569.8

132197.4

128058

130318.3

125931.6

Min \(O_{5}\)

117779.4

117779.4

117680.2

117011.7

116616.8

115716.8

115023.9

116545.1

114716.3

Min \(O_{6}\)

141110.9

141110.9

140790.8

140049.5

138199.5

137116.7

137432.8

135757.4

135490.6