Repulsion optimization algorithmTime-seriesWind turbineWind power forecasting is crucial for energy conversion and management. This study employs the long short-term memory (LSTM) network, a specialized form of
Naked mole-rat algorithm (NMRA) is a swarm intelligence-based algorithm that draws inspiration from the mating behaviour of mole rats (workers and breeders). This approach, which is based on the ability of breeders to reproduce with the queen, has been u
In this work, the Weighted Superposition Attraction-Repulsion (WSAR) algorithm, which is a recent swarm intelligence based metaheuristic algorithm, is proposed for effective solution of truss optimization problems with multiple natural frequency constraints. The effectiveness and robustness of the WSAR ...
attraction-repulsion mechanismcomplex functionsStandard Particle Swarm Optimization(PSO) algorithm falls into local optima easily and has low convergence accuracy when it is used to address the problem of complex functions optimization.In order to overcome the shortcomings,an improved PSO algorithm was ...
Multiple Objective Optimization with Weighted Superposition Attraction–Repulsion (moWSAR) AlgorithmWeighted Superposition Attraction鈥揜epulsion (WSAR) algorithm is a recently proposed swarm intelligence-based metaheuristic algorithm that is inspired from superposition principle of physics and attracted movements ...
A global optimization method for Weber's problem with attraction and repulsion. In: Hager, W.W. eds. (1994) Large Scale Optimization: State of the Art. Kluwer Academic Publishers, DordrechtC. D. Maranas and C. Floudas. A global optimization method for Weber's problem with attraction and ...
Moreover, locational constraints can be taken into account by combining the previous algorithm with an enumerative procedure on the set of feasible regions. Finally, the algorithm is extended to solve the case where obnoxiousness of the facility is assumed to have exponential decay. Computational ...
In Encyclopedia of Optimization, pages 1423-1427. Springer.Maranas, C.D. : Global optimization in Weber's problem with attraction and repulsion Part 7. In: Floudas, C.A., Pardalos, P.M. (eds.) Encyclopedia of Optimization, pp. 1423-1427. Springer, Ber- lin (2009)...
Segmentation with pairwise attraction and repulsion - Yu, Shi - 2001 () Citation Context ... instance of the relaxation labeling algorithm [27]. Gestalt grouping factors, such as proximity, similarity, continuity and symmetry, are encoded and combined in pairwise feature similarity measures =-=[...
To optimize dose distribution for high-dose-rate brachytherapy for prostate cancer, we have developed a new algorithm named Attraction-Repulsion Model (ARM). In this study, we compared the ARM with geometric optimization (GO). The ARM was used to optimize the dose distribution by finding the ...