IMPLEMENTASI ALGORITMA CAT SWARM OPTIMIZATION DALAM MENYELESAIKAN JOB SHOP SCHEDULING PROBLEM (JSSP)
ABSTRACT: Cat Swarm
Optimization (CSO) algorithm is a metaheuristic algorithm which is based on two
behaviors of cat, seeking and tracing. CSO algorithm is used in solving
optimization problems. One of the optimization problems which can be seen in
daily life is Job Shop Scheduling Problem (JSSP). This study aimed to observe
the performance of CSO algorithm in solving JSSP. This study focused on 5
job-12 machine cases. According to this study, CSO algorithm was effective in
solving real case of JSSP in 5 jobs – 12 machines scheduling at CV Mitra Niaga
Indonesia agriculture tools industry. In implementing CSO algorithm in JSSP, a
correct parameter choosing could lead to an optimal result. On other hand, the
greater the number of jobs or machines the more complex and difficult the JSSP that
needed to be solved.
Penulis: I Wayan Radika
Apriana
Kode Jurnal: jpmatematikadd160177
