Research Article

An Adaptive Evolutionary Algorithm for Traveling Salesman Problem with Precedence Constraints

Table 5

Comparison against best known values with TSPLIB problem set.

Name of problem(%) Best value*/best knownMin
T1S1**T1S2T2S1T2S2T1S1FT1S2FT2S1FT2S2F

br17.10100%100%101%103%100%100%100%100%100%
br17.12100%100%100%103%100%100%100%100%100%
ESC07100%100%100%103%100%100%100%100%100%
ESC12100%100%100%100%100%100%100%100%100%
ESC25142%155%144%150%140%156% 146%146%140%
ESC47363%373%365%351%378%373% 345%323%323%
ESC63119%120%125%122%122%118%119%122%118%
ft53.1152%141%143%152%145%141%144%145%141%
ft53.2141%138%132%138%137%134%136%136%132%
ft53.3121%123%123%126%125%121%122%125%121%
ft53.4122%108%129%128%125%108%130%111%108%
ft70.1128%118%121%120%125%121% 124%123%118%
ft70.2115%123%122%124%118%118% 118%125%115%
p43.1111%104%103%103%107%103%104%112%103%
p43.2110%103%117%114%109%102%111%108%102%
p43.3107%101%106%100%103%102%103%102%100%
p43.4106%101%107%106%102%100%104%102%100%
prob.42190%182%197%196%192%187% 189%191%182%
rbg048a111%107%112%107%108%107%111%115%107%
rbg050c118%108%126%118%115%109% 120%117%108%
ry48p.1126%121%118%123%122%122% 122%122%118%
ry48p.2121%111%122%115%117%116% 119%124%111%
ry48p.3119%113%119%121%115%115% 118%124%113%
ry48p.4116%111%108%108%111%108%108%112%108%

avg131%128%131%130%130%128%129%129%ā€‰

The best value obtained by the adaptive evolutionary algorithm.
**T: termination option, 1 = the first option, 2 = the second option.
S: selection option of chromosomes, 1 = the first option, 2 = the second option.
F: funeral option if applied.