To overcome these challenges, this study proposes a Multi Objective RIME (MORIME) algorithm that uses improved non-dominated sorting and crowding distance techniques to optimize weight and compliance over eight truss designs. With respect to Hypervolume (HV), Inverted Generational Distance (IGD), and...
Kalita K, Ganesh N, Narayanan R, Jangir P, Oliva D, Pérez-Cisneros M (2024) Multi-objective water strider algorithm for complex structural optimization: a comprehensive performance analysis. IEEE Access 12:55157 Article Google Scholar Pandya SB et al (2024) Multi-objective RIME algorithm-based...
Multi-objective RIME algorithm-based techno economic analysis for security constraints load dispatch and power flow including uncertainties model of hybrid power systems 2024, Energy Reports Citation Excerpt : In a different approach, MOSGA was proposed in (Huy et al., 2022) to address MOOPF proble...
Zhong, R., Zhang, C., Yu, J.: Hierarchical RIME algorithm with multiple search preferences for extreme learning machine training. Alex. Eng. J. 110, 77–98 (2025). https://doi.org/10.1016/j.aej.2024.09.109 Article Google Scholar Huang, H., et al.: Comprehensive multi-view representa...
Multi-objective shape optimization of a plate-fin heat exchanger using CFD and multi-objective genetic algorithm 女孩要富养--杨澜269 A genetic algorithm approach for multi-objective optimization of supply chain networks Cocos2d-x中的Box2D物理引擎集成 SketchUp在小型建筑设计中的应用研究---优秀毕业论文参...
The control algorithm of the cutting tobacco drying process The Multi-Objective Optimization (MOO) strategy algorithm has been widely used in optimal control systems for a long time. Molina et al. and Rani et al.24,25 presented using a simplified goal of the MOO problem to real- ...
Algorithm 1 Implicit Competition. Full size image Implicit Competition: Algorithm 1 describes the detail of implicit competition. First, the number of being dominated\(R_i\)of each solution is calculated, regarding as a convergence metric. Second, each solution calculates the distance with the other...
Additionally, this paper extends INOA to a multi-objective version called MONOA, enabling the algorithm to solve multi-objective problems. The proposed algorithm, INOA, undergoes evaluation using 30 classical benchmark problems, CEC-2014, CEC-2017, CEC-2019 test suites, and two real-world ...
The Octopus evolutionary solver, based on the SPEA-2 reduction algorithm, performs 100 iterations to obtain Pareto optimal solutions. Sensitivity analyses, including both Univariate and Multivariate Sensitivity Analysis, are conducted to examine the impacts of PWH, VS, and HS on WE, DP, and MCE. ...
Finally, the multi-objective optimization of the frame was carried out using the RIME algorithm. This research adopts a methodologically rigorous workflow commencing with comprehensive simulation analysis and experimental validation to ensure model fidelity, thereby establishing a credible foundation for ...