Diversity Operators-based Artificial Fish Swarm Algorithm to Solve Flexible Job Shop Scheduling Problem

Artificial fish swarm algorithm (AFSA) is one of the critical intelligent algorithms. In this paper, authors decide to enhance AFSA via diversity operators (AFSA-DO). The will be producing more diverse solutions for obtain reasonable resolutions. AFSA-DO has been used solve flexible job shop scheduling problems (FJSSP). However, FJSSP a significant problem in domain optimization and operation research. Several research papers dealt with methods solving issue, including forms intelligence swarms. set target samples are tested employing improved confirm its effectiveness evaluate execution. Finally, paper concludes that enhanced discrepancies about initial AFSA, it also provided both sound quality resolution intersected rate.