一、浣熊优化算法COA浣熊优化算法(Coati Optimization Algorithm,COA)由Dehghani Mohammad等人于2022年提出的模拟浣熊狩猎行为的优化算法,该算法具有进化能力强,收敛速度快,收敛精度高等特点。 COA具体原理…
1.NSGA-II(Non-dominated Sorting Genetic Algorithm II) :这是一种流行的多目标遗传算法,它使用非支配排序和拥挤距离来选择个体,以保持种群的多样性并逼近真实的帕累托前沿。 多目标优化算法_IT猿手的博客-CSDN博客 2.MOEA/D(Multi-Objective Evolutionary Algorithm Based on Decomposition) :基于分解的多目标进化...
multi-objective optimizationIn this paper, a multi-objective DE algorithm basedon escalating strategy will be proposed. The main idea of thisescalating strategy is to re-generate the whole evolutionarypopulation with some technology, which results in a newpopulation significantly indifferent from the ...
Multi-objective exponential distribution optimizer (MOEDO): a novel math-inspired multi-objective algorithm for global optimization and real-world engineering design problems Kanak Kalita, Janjhyam Venkata Naga Ramesh, Lenka Cepova, Sundaram B. Pandya, Pradeep Jangir & Laith Abualigah Scienti...
Algorithm Improvements for the Goal Attainment Method The goal attainment method has the advantage that it can be posed as a nonlinear programming problem. Characteristics of the problem can also be exploited in a nonlinear programming algorithm. In sequential quadratic programming (SQP), the choice ...
A new algorithm based on multi-objective formulation is applied to design the prediction intervals for wind power. • Data pre-process strategy based on feature extraction is built to reduce the complexity and determine the input forms. • The wind speed prediction intervals are estimated through...
The goal of an optimization model is to identify the optimal values for decision variables with the objective of either maximizing or minimizing an objective function. When there is more than one objective function involved, finding the optimum solution(s) becomes a multi-objective optimization (MOO...
of solutions. Then they compare these solutions using the dominance operator to find the set of POSs and keep them in an archive. In the next iterations, each algorithm tries to improve the quality of the archive solutions to get the closest possible approximation to the true Pareto set [29...
fast elitist multiobjective genetic algorithm之nsga一种快速精英多目标遗传算法ii.pdf,A FAS ITIST MULTIOBJECTIVE G IC ALGORITHM: NSGA-II ARAVIND SESHADRI 1. Multi-Objective Optimization Using NSGA-II NSGA ( [5]) is a popular non-domination based g ic algor
多目标人工蜂鸟算法(multi-objective artificial hummingbird algorithm,MOAHA)是2022年提出的一种高效的多目标优化算法,其采用基于拥挤距离的动态消除法( dynamic elimination-based crowding distance ,DECD)维护外部存档。 MOAHA算法描述如下: 参考文献: [1]Weiguo Zhao, Zhenxing Zhang, Seyedali Mirjalili, Liying ...