Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285265544> ?p ?o ?g. }
- W4285265544 endingPage "50313" @default.
- W4285265544 startingPage "50298" @default.
- W4285265544 abstract "In this paper, a heuristic scheme based on the hybridization of Bernstein Polynomials (BPs) and nature-inspired optimization techniques is presented to achieve the numerical solution of Nonlinear Optimal Control Problems (NOCPs) efficiently. The solution of NOCP is approximated by the linear combination of BPs with unknown coefficients. The unknown coefficients are estimated by transforming the NOCP into an error minimization problem and formulating the objective function. The Genetic Algorithm (GA) and Fitness Dependent Optimizer (FDO) are used for solving the objective function and obtaining the optimum values of the unknown coefficients. The findings and statistical results indicate the represented hybrid scheme offers encouraging results and outperforms the most recent and popular methods proposed in the literature, which ultimately validates the efficacy and productivity of the recommended approach. Furthermore, statistical analysis is incorporated to examine the reliability and stability of the suggested technique. Consequently, the remarkable difference is evident in simplicity, flexibility, and effectiveness compared to the other methods considered." @default.
- W4285265544 created "2022-07-14" @default.
- W4285265544 creator A5016603327 @default.
- W4285265544 creator A5017784653 @default.
- W4285265544 creator A5025202660 @default.
- W4285265544 creator A5036584050 @default.
- W4285265544 creator A5061411178 @default.
- W4285265544 creator A5061765479 @default.
- W4285265544 date "2022-01-01" @default.
- W4285265544 modified "2023-10-14" @default.
- W4285265544 title "A Numerical Approach for Solving Nonlinear Optimal Control Problems Using the Hybrid Scheme of Fitness Dependent Optimizer and Bernstein Polynomials" @default.
- W4285265544 cites W1597540030 @default.
- W4285265544 cites W1906171435 @default.
- W4285265544 cites W1993771481 @default.
- W4285265544 cites W1997283008 @default.
- W4285265544 cites W1998059425 @default.
- W4285265544 cites W1998653143 @default.
- W4285265544 cites W2000037083 @default.
- W4285265544 cites W2001981441 @default.
- W4285265544 cites W2019294216 @default.
- W4285265544 cites W2033408818 @default.
- W4285265544 cites W2040756577 @default.
- W4285265544 cites W2052757825 @default.
- W4285265544 cites W2060530724 @default.
- W4285265544 cites W2061553522 @default.
- W4285265544 cites W2074906797 @default.
- W4285265544 cites W2079511263 @default.
- W4285265544 cites W2101080905 @default.
- W4285265544 cites W2104535872 @default.
- W4285265544 cites W2118803019 @default.
- W4285265544 cites W2148833217 @default.
- W4285265544 cites W2153425320 @default.
- W4285265544 cites W2184128337 @default.
- W4285265544 cites W2315230090 @default.
- W4285265544 cites W2534293725 @default.
- W4285265544 cites W2543092839 @default.
- W4285265544 cites W2546750793 @default.
- W4285265544 cites W2615593440 @default.
- W4285265544 cites W2706008299 @default.
- W4285265544 cites W2754652728 @default.
- W4285265544 cites W2772696489 @default.
- W4285265544 cites W2773407441 @default.
- W4285265544 cites W2789936269 @default.
- W4285265544 cites W2792261829 @default.
- W4285265544 cites W2933860896 @default.
- W4285265544 cites W3012179709 @default.
- W4285265544 cites W3015612651 @default.
- W4285265544 cites W3029801266 @default.
- W4285265544 cites W3044342429 @default.
- W4285265544 cites W3095879814 @default.
- W4285265544 cites W3103925702 @default.
- W4285265544 cites W3199928800 @default.
- W4285265544 cites W3201276182 @default.
- W4285265544 cites W3203468052 @default.
- W4285265544 cites W3205216213 @default.
- W4285265544 cites W3212944001 @default.
- W4285265544 cites W4200517010 @default.
- W4285265544 cites W1564250896 @default.
- W4285265544 doi "https://doi.org/10.1109/access.2022.3173285" @default.
- W4285265544 hasPublicationYear "2022" @default.
- W4285265544 type Work @default.
- W4285265544 citedByCount "1" @default.
- W4285265544 countsByYear W42852655442023 @default.
- W4285265544 crossrefType "journal-article" @default.
- W4285265544 hasAuthorship W4285265544A5016603327 @default.
- W4285265544 hasAuthorship W4285265544A5017784653 @default.
- W4285265544 hasAuthorship W4285265544A5025202660 @default.
- W4285265544 hasAuthorship W4285265544A5036584050 @default.
- W4285265544 hasAuthorship W4285265544A5061411178 @default.
- W4285265544 hasAuthorship W4285265544A5061765479 @default.
- W4285265544 hasBestOaLocation W42852655441 @default.
- W4285265544 hasConcept C105795698 @default.
- W4285265544 hasConcept C112972136 @default.
- W4285265544 hasConcept C11413529 @default.
- W4285265544 hasConcept C119857082 @default.
- W4285265544 hasConcept C121332964 @default.
- W4285265544 hasConcept C126255220 @default.
- W4285265544 hasConcept C14036430 @default.
- W4285265544 hasConcept C158622935 @default.
- W4285265544 hasConcept C163258240 @default.
- W4285265544 hasConcept C173801870 @default.
- W4285265544 hasConcept C176066374 @default.
- W4285265544 hasConcept C2780598303 @default.
- W4285265544 hasConcept C33923547 @default.
- W4285265544 hasConcept C41008148 @default.
- W4285265544 hasConcept C43214815 @default.
- W4285265544 hasConcept C62520636 @default.
- W4285265544 hasConcept C78458016 @default.
- W4285265544 hasConcept C86803240 @default.
- W4285265544 hasConcept C8880873 @default.
- W4285265544 hasConceptScore W4285265544C105795698 @default.
- W4285265544 hasConceptScore W4285265544C112972136 @default.
- W4285265544 hasConceptScore W4285265544C11413529 @default.
- W4285265544 hasConceptScore W4285265544C119857082 @default.
- W4285265544 hasConceptScore W4285265544C121332964 @default.
- W4285265544 hasConceptScore W4285265544C126255220 @default.
- W4285265544 hasConceptScore W4285265544C14036430 @default.
- W4285265544 hasConceptScore W4285265544C158622935 @default.