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,
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...
Multi-Objective Flow Direction Algorithm (MOFDA) 다운로드 수: 117 Multi-objective RIME Algorithm (MORIME) 다운로드 수: 180 태그 태그 추가 algorithm benchmark design hurestic metahurestic mowoa multi objective novel nswoa optimization particle swarm op.....
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...
Stimulated by the widespread use of MOEAs, numerous different population-intelligence-based algorithms, including the multi-objective immune algorithm (MOIA) [13], multi-objective differential evolution [14], multi-objective ant colony optimization (MACO) [15], and multi-objective particle swarm ...
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, ...
In this study, a multi-objective evolutionary algorithm integrating decomposition and harris hawks learning (MOEA/D-HHL) is presented for medical machine learning; harris hawks learning can guarantee a good variety and systematic MOEA/D-HHL solutions. The performance of this MOEA/D-HHL is first ...
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- ...