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 ...
Multi-objective improved particle swarm optimization MOJaya: Multi-objective Jaya MOMICA: Multi-objective modified imperialist competitive algorithm MOO: Multi-objective optimization MOOPF: Multi-objective optimal power flow MOPSO: Multi-objective particle swarm optimization MOSMA: Multi-objective sl...
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. The process begins with the initialization of \(...
Several algorithms have been proposed for medical image segmentation, such as Harris Hawks' optimization algorithm, which is used to segment brain MRI images [28,28a]. The results showed that the proposed framework outperforms the state-of-the-art methods on the same dataset; however, it suffers...
parameters.AstheobjectiveistomaximizeBTEand minimizeBSFC,Pm ,CO,N0,HC,smoke,amulti- objectiveoptimizationproblemisformulated.Non. dominatedsortinggeneticalgorithm—IIisusedinpredict— ingtheParetooptimalsetsofsolution.Experimentsare performedatsuitableoptimalsolutionsforpredictingthe combustion,performanceandemissionpar...
code of the paper "TERIME: An improved RIME algorithm with enhanced exploration and exploitation for robust parameter extraction of photovoltaic models". PV, optimization problems, Metaheuristic, Rao, estimation, stability, uncertainty, RTC France, Equiv
diferentialevolutionalgorithmhasastrongadvantageindealing withthesingleobjectiveoptimizationproblem,andithasbeen widelyusedinscientifi c resear ch and eng ineer ing pra ctic e, su ch as the contro l ler p ar ameter o p ti mi zati on,fi lter s d es i gn, ...
multi-objective ant colony optimization (MACO) [15], and multi-objective particle swarm optimization algorithm (MOPSO) [16], have been put forward one after another. In addition, some iterative optimization algorithms [17,18,19] based on different perspectives have also emerged. In these swarm ...
Snow ablation optimization (SAO) is a novel metaheuristic algorithm (MA). However, we observed certain issues in the original SAO, such as poor capacity in
needed fo r a very large number of objective function ev aluatio ns d uring an O pt—aiN et run w ou ld be prohibi— tiv e in high—d im ensional app lication systems . Shi and Q ian:A Multi—A gent Immune Network Algorithm and Its Application to M urphree E ffi ciency...