Evolutionary Intelligence, Год журнала: 2025, Номер 18(3)
Опубликована: Май 30, 2025
Язык: Английский
Evolutionary Intelligence, Год журнала: 2025, Номер 18(3)
Опубликована: Май 30, 2025
Язык: Английский
Advances in Engineering Software, Год журнала: 2025, Номер 203, С. 103862 - 103862
Опубликована: Фев. 6, 2025
Язык: Английский
Процитировано
1Electronic Research Archive, Год журнала: 2025, Номер 33(1), С. 471 - 512
Опубликована: Янв. 1, 2025
<p>An improved metaheuristic algorithm called the Crossover strategy integrated Secretary Bird Optimization Algorithm (CSBOA) is proposed in this work for solving real optimization problems. This logistic-tent chaotic mapping initialization, an differential mutation operator, and crossover strategies with (SBOA) a better quality solution faster convergence. To evaluate performance of CSBOA, two sets standard benchmark set, CEC2017 CEC2022, were applied first. The Wilcoxon rank sum test Friedman also used to statistically compare CSBOA seven common metaheuristics. comparisons demonstrated that more competitive than other algorithms on most functions. Additionally, was validated challenging engineering design case studies. Comparative results showed provides accurate solutions SBOA algorithms, suggesting viability dealing global problems.</p>
Язык: Английский
Процитировано
0Communications in computer and information science, Год журнала: 2025, Номер unknown, С. 207 - 221
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Electronic Research Archive, Год журнала: 2025, Номер 33(1), С. 471 - 512
Опубликована: Янв. 1, 2025
<p>An improved metaheuristic algorithm called the Crossover strategy integrated Secretary Bird Optimization Algorithm (CSBOA) is proposed in this work for solving real optimization problems. This logistic-tent chaotic mapping initialization, an differential mutation operator, and crossover strategies with (SBOA) a better quality solution faster convergence. To evaluate performance of CSBOA, two sets standard benchmark set, CEC2017 CEC2022, were applied first. The Wilcoxon rank sum test Friedman also used to statistically compare CSBOA seven common metaheuristics. comparisons demonstrated that more competitive than other algorithms on most functions. Additionally, was validated challenging engineering design case studies. Comparative results showed provides accurate solutions SBOA algorithms, suggesting viability dealing global problems.</p>
Язык: Английский
Процитировано
0Evolutionary Intelligence, Год журнала: 2025, Номер 18(3)
Опубликована: Май 30, 2025
Язык: Английский
Процитировано
0