A Dynamic Opposite Learning Assisted Grasshopper Optimization Algorithm for the Flexible JobScheduling Problem

Table 1

Benchmark functions provided by CEC 2014 test set.

Label	Functions	Optimum	Dims	Character
F1	High conditioned elliptic	100	30	Unimodal
F2	Bent cigar	200	30	Unimodal
F3	Discus	300	30	Unimodal
F4	Rosenbrock	400	30	Multimodal
F5	Ackely	500	30	Multimodal
F6	Weierstrass	600	30	Multimodal
F7	Griewank	700	30	Multimodal
F8	Rastrigin	800	30	Multimodal
F9	Rotated rastrigin	900	30	Multimodal
F10	Schwefel	1000	30	Multimodal
F11	Rotated schwefel	1100	30	Multimodal
F12	Katsuura	1200	30	Multimodal
F13	HappyCat	1300	30	Multimodal
F14	HGBat	1400	30	Multimodal
F15	Expanded griewank plus rosenbrock	1500	30	Multimodal
F16	Expanded scaffer	1600	30	Multimodal
F17	HF1	1700	30	Hybrid
F18	HF2	1800	30	Hybrid
F19	HF3	1900	30	Hybrid
F20	HF4	2000	30	Hybrid
F21	HF5	2100	30	Hybrid
F22	HF6	2200	30	Hybrid
F23	CF1	2300	30	Composition