TY  - JOUR
AU  - Gargantilla Becerra, A.
AU  - Lahoz Beltrá, Rafael
PY  - 2020
DO  - 10.3390/app10113936
SN  - 2076-3417
UR  - https://hdl.handle.net/20.500.14352/8396
T2  - Applied Sciences
AB  - One of the most delicate stages of an evolutionary algorithm is the evaluation of the goodness of the solutions by some procedure providing a fitness value. However, although there are general rules, it is not always easy to find an appropriate...
LA  - eng
M2  - 3936
PB  - MDPI
KW  - Evolutionary computing
KW  - Fitness function evaluation
KW  - Bioinspired algorithms
KW  - Synthetic biology
TI  - A Microbial Screening in Silico Method for the Fitness Step Evaluation in Evolutionary Algorithms
TY  - journal article
VL  - 10
ER  -