| 000 | 03342nlm1a2200505 4500 | ||
|---|---|---|---|
| 001 | 668707 | ||
| 005 | 20231030042157.0 | ||
| 035 | _a(RuTPU)RU\TPU\network\39944 | ||
| 035 | _aRU\TPU\network\39891 | ||
| 090 | _a668707 | ||
| 100 | _a20230119a2022 k y0engy50 ba | ||
| 101 | 0 | _aeng | |
| 102 | _aDE | ||
| 135 | _adrcn ---uucaa | ||
| 181 | 0 | _ai | |
| 182 | 0 | _ab | |
| 200 | 1 |
_aQuantum Henry gas solubility optimization algorithm for global optimization _fM. Davood, A. M. Mokhamed Elsaed (Mohamed Abd Elaziz), M. Reza [et al.] |
|
| 203 |
_aText _celectronic |
||
| 300 | _aTitle screen | ||
| 320 | _a[References: 90 tit.] | ||
| 330 | _aThis paper proposes an improvement on the recently introduced Henry Gas Solubility Optimization (HGSO) metaheuristic algorithm that simulates Henry’s gas law (i.e., the concentration of a gas sample in a liquid solvent is proportional to the concentration of the sample in the gas phase). As an improvement, we apply quantum theory instead of the standard procedure used in the HSGO algorithm for updating solutions. The proposed algorithm is named as Quantum HGSO (QHGSO) algorithm in this paper. The suggested changes enhance the ability of HGSO to create a counterbalance between exploitation and exploration for a better investigation of the solution space. For evaluating the capability of finding the optimal solution of our proposed algorithm, a collection of forty-seven global optimization functions is solved. Moreover, three well-known engineering problems are studied to show the performance of the QHGSO algorithm in constrained optimization problems. Comparative results with other well-known metaheuristic algorithms have shown that the QHGSO algorithm outperforms others with higher computational performance. | ||
| 333 | _aРежим доступа: по договору с организацией-держателем ресурса | ||
| 461 | _tEngineering with Computers | ||
| 463 |
_tVol. 38, iss. 3 _v[P. 2329–2348] _d2022 |
||
| 610 | 1 | _aэлектронный ресурс | |
| 610 | 1 | _aтруды учёных ТПУ | |
| 610 | 1 | _ahenry gas solubility optimization algorithm | |
| 610 | 1 | _aquantum theory | |
| 610 | 1 | _ametaheuristics | |
| 610 | 1 | _aoptimization | |
| 610 | 1 | _aphysics-based algorithms | |
| 610 | 1 | _aалгоритмы | |
| 610 | 1 | _aоптимизация | |
| 610 | 1 | _aрастворимые газы | |
| 610 | 1 | _aквантовая теория | |
| 610 | 1 | _aметаэвристика | |
| 701 | 1 |
_aDavood _bM. _gMohammadi |
|
| 701 | 1 |
_aMokhamed Elsaed (Mohamed Abd Elaziz) _bA. M. _cSpecialist in the field of informatics and computer technology _cProfessor of Tomsk Polytechnic University _f1987- _gAkhmed Mokhamed _2stltpush _3(RuTPU)RU\TPU\pers\46943 |
|
| 701 | 1 |
_aReza _bM. _gMoghdani |
|
| 701 | 1 |
_aEmrah _bD. _gDemir |
|
| 701 | 1 |
_aSeyedali _bM. _gMirjalili |
|
| 712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет _bИнженерная школа информационных технологий и робототехники _bОтделение информационных технологий _h7951 _2stltpush _3(RuTPU)RU\TPU\col\23515 |
| 801 | 2 |
_aRU _b63413507 _c20230119 _gRCR |
|
| 856 | 4 | _uhttps://doi.org/10.1007/s00366-021-01347-1 | |
| 942 | _cCF | ||