Usually, conventional optimization algorithms have difficulty in solving complex MOO tasks, and in generating diverse, high quality solutions for various structural configurations. To overcome these challenges, this study proposes a Multi Objective RIME (MORIME) algorithm that uses improved non-dominated ...
For multi-objective optimization, the SWO algorithm is extended using the Pareto concept to form the multi-objective spider wasp optimization (MOSWO) algorithm. The MOSWO algorithm applies fuzzy membership theory to extract the best compromise from non-dominant solutions, generating a well-distributed...
simultaneousoptimizationofcombustion(BSFC,Pmax), performance(BTE)andemission(co,NO,HC,smoke1 parameters.AstheobjectiveistomaximizeBTEand minimizeBSFC,Pm ,CO,N0,HC,smoke,amulti- objectiveoptimizationproblemisformulated.Non. dominatedsortinggeneticalgorithm—IIisusedinpredict— ingtheParetooptimalsetsofsolution...
Xu, X.F., et al.: Multi-objective particle swarm optimization algorithm based on multi-strategy improvement for hybrid energy storage optimization configuration. Renew. Energy. 223, 120086 (2024). https://doi.org/10.1016/j.renene.2024.120086 Article Google Scholar Bakır, H., et al.: Dy...
Inspired by the potential of QILDE, we extend it from the single-objective algorithm to a multi-objective algorithm and apply to solve the MOEED considering the uncertainty of solar power in this work. On the one hand, we redefine the implementation of QI in single-objective optimization to ...
Figure2provides an overview of the LCCMO framework. The algorithm is structured around two populations, each serving a distinct role in the optimization process. The primary population, denoted as\(P_1\), utilizes a competitive and cooperative multi-objective optimizer to explore the decision space...
Multi-objective optimization is an effective strategy when there is competition among objectives. The multi-objective optimization algorithm is introduced into the MPC control strategy, and the system-controlled output variables are optimized in ascending order of priority to meet the technological ...
Multi-objective optimizationNutcracker Optimization Algorithm (NOA) is a recently proposed meta-heuristic algorithm inspired by foraging and storing behavior of nutcracker birds. NOA demonstrates strong performance across various test sets and optimization problems. However, it faces challenges in effectively ...
Design and optimization of form and facade of an office building using the genetic algorithm. Sci. Technol. Built Environ. 26, 128–140 (2020). 28. Chen, Y. & Gallardo, S. A multi-objective optimization method for the design of a sustainable house in ecuador by assessing LCC and LCEI....
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 ...