Set-Based Differential Evolution Algorithm Based on Guided Local Exploration for Automated Process Discovery

Table 2

Description of event logs.

Model	# tasks	# traces	# events	Sequence	Choice	Parallelism	Length one loop	Length two loop	Structured loop	Arbitrary loop	Invisible tasks
a5	7	300	2189	√	√	√	√
a6nfc	8	300	2040	√	√	√					√
a7	9	300	2032	√	√	√
a8	10	300	1803	√	√	√
a10skip	12	300	2665	√	√	√					√
al1	9	300	3976	√	√	√				√
al2	13	300	5800	√	√	√				√
bn1	42	300	11100	√	√
bn2	42	300	24540	√	√				√		√
bn3	42	300	35527	√	√				√		√
choice	12	300	2400	√	√
h3p4	12	300	5637	√	√	√			√
h6p18	7	300	9844	√	√		√	√	√		√
h6p30	19	300	14851	√	√						√
h6p36	12	300	3000	√	√
h6p41	16	300	3600	√	√	√
h6p45	8	300	2400	√		√
l1l	6	300	1987	√	√		√
l2l	6	300	4932	√	√			√
l2lOpt	6	300	2622	√	√			√
l2lSkip	6	300	4554	√	√			√			√
paral5	10	300	3000	√		√