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
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...
一、算法简介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 d…
We present a new label-setting algorithm for the Multiobjective Shortest Path (MOSP) problem that computes a minimum complete set of efficient paths for a given instance. The size of the priority queue used in the algorithm is bounded by the number of nodes in the input graph and extracted ...
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We focus on the practical efficiency of algorithms, and propose an algorithm that runs in time almost linear in the input/output size. We prove that the computation time of its variant is linear in the database size when the length of the short strings is constant, and computational ...
Bodo Moller, " Algorithm for Multi-exponentiation ",Springer-Verlag, Berlin Heidelberg 2001, pp. 165-180.Bodo Moller, " Algorithms for Multi-exponentiation ", Lecture Notes in Computer Science, Springer, DE, vol. 2259, Jan. 1, 2001.
Many real-world engineering problems need to balance different objectives and can be formatted as multi-objective optimization problem. An effective multi-objective algorithm can achieve a set of optimal solutions that can make a tradeoff between differe
This example shows some of the effects of multiobjective genetic algorithm options. You create and change options for gamultiobj using the optimoptions function. Setting Up a Problem for gamultiobj gamultiobj finds a local Pareto front for multiple objective functions using the genetic algorithm. For ...
RobustSTL: A robust seasonal-trend decomposition algorithm for long time series. AAAI, 2019.9.Liu Y, Tao S, Meng W, et al. LogPrompt: Prompt Engineering Towards Zero-Shot and Interpretable Log Analysis. arXiv, 2023.10.Tao S, Liu Y, Meng W, et al. Biglog: Unsupervised large-scale ...