In this paper, a survey on meta-heuristic algorithms is performed and several population-based meta-heuristics in continuous (real) and discrete (binary) search spaces are explained in details. This covers design, main algorithm, advantages and disadvantages of the algorithms. 展开 ...
(bGWO), binary dragon algorithm (BDA), binary multi-neighborhood artificial bee colony (BMNABC), binary hybrid topology particle swarm optimization quadratic interpolation (BHTPSO-QI), binary ant lion optimizer (bALO) and binary gravitational search algorithm (BGSA) have been evaluated by feature ...
Operators: mutation (uniform, polynomial, bit-flip), crossover (BLX-alpha, simulated binary crossover -SBX-, single-point), selection (random, binary tournament) Algorithms: local search, evolutionary algorithm, NSGA-II Archives: unbounded non-dominated archive, bounded crowding distance archive ...
# _curve: prime256v1, secp521r1, secp384r1 ( _fd="private.key" ; _curve="prime256v1" ; \ openssl ecparam -out ${_fd} -name ${_curve} -genkey ) # _curve: X25519 ( _fd="private.key" ; _curve="x25519" ; \ openssl genpkey -algorithm ${_curve} -out ${_fd} ) Generate...
In order to determine which versions of a package are affected by a vulnerability in a dependency, this module uses the following algorithm to minimize the number of tests required by performing a binary search on each version set, and presuming that versionsbetweenvulnerable versions within a give...
The full search strategy is available in Supplementary Note 1. Citation checking was also conducted. Study selection Two investigators (C.M. and H.F.A.) independently screened titles and abstracts against a predefined algorithm to select studies for full text review. The screening tool is ...
Hyperparameter search for the models was performed with the Tree-structured Parzen Estimator (TPE) algorithm [27], and a nested cross-validation was used in the evaluation. The best model was a Deep Neural Network (DNN) trained using molecular fingerprints, which improved the performance of the...
In order to determine which versions of a package are affected by a vulnerability in a dependency, this module uses the following algorithm to minimize the number of tests required by performing a binary search on each version set, and presuming that versions between vulnerable versions within a ...
They showed these kinds of problems are NP-hard and developed an efficient genetic algorithm to solve the problem. Marichelvam et al. [4] studied the multistage hybrid flow shop (HFS) scheduling problem and proved these kinds of problems are NP-hard. They developed cuckoo search (CS) meta-...
At step 245, algorithm 256 may determine whether network 242 is acting in accordance with steps 241 and 243 above to provide a faithful rendition of element 252. Upon determining whether the image is color enabled at step 241 and whether client 250 has been color characterized at step 243, ...