Salp swarm algorithmOptimizationMulti-objectiveClassificationDeveloping intelligent analytical tools requires pre-processing data and finding relevant features that best reinforce the performance of the predictive algorithms. Feature selection plays a significant role in maximizing the accuracy of Machine Learning ...
Corroded pipeline Burst pressure Prediction Relevance vector machine Multi-objective salp swarm algorithm Machine learning 1. Introduction The pressure pipeline is the primary transportation method of oil, gas, water, and other resources. It has the characteristics of economy and safety (Lu et al., ...
Improved salp swarm algorithm MOAOA: Multi-objective arithmetic optimization algorithm MOEA/D: A multi-objective evolutionary algorithm based on decomposition MOEA/DDAE: Multi-objective evolutionary algorithm with detect-and-escape constraint technique MOEMA: Multi-objective electromagnetism-like algorithm...
Kumar R, Sadu A, Kumar R, Panda SK (2012) A novel multi-objective directed bee colony optimization algorithm for multi-objective emission constrained economic power dispatch. Int J Electr Power Energy Syst 43(1):1241–1250.https://doi.org/10.1016/j.ijepes.2012.06.011 ArticleGoogle Scholar Pan...
Objective function of each algorithm with a centroid value of 6.43768 8 (a), and the probability of objective function of 11.90%, 30.95%, 50%, 69.04%, and 88.09% (b) for GWO, MGWO, MMSCC-GWO, CCS-GWO, and HMS-GWO respectively. ...
Literature20, for the PQD of distributed new energy generators, the pyramid algorithm without wavelet transform is used to extract features, and then the random gradient lifting tree is used for classification, which effectively improves the classification accuracy. These methods have their own ...
Recently proposed Salp swarm algorithm (SSA), Grasshopper optimization Algorithm (GOA), and Ant lion Optimzer (ALO) algorithm based on Multi objectives are used to obtain an optimal values of the controller and their performances are compared with the most popular swarm intelligent technique like ...
Vertical Handover Using Mutated-Salp Swarm Optimization Algorithm Based on Radial Basis Function Neural Network in Heterogeneous Networks The heterogeneous network for a 4th generation, not constantly supports enhanced mobility and communication amid the Wireless Access Network. Therefore, th... Ashu Gupta...
Fig. 2. The overall best Pareto front solutions obtained by multi-objective salp swarm algorithm for the wind speed forecasting. For the non-dominated solutions, the normalized membership function uk can be defined by:(28)uk=∑i=1nuik/∑k=1M∑i=1nuikwhere M is the number of non-dominate...
Other popular MOSAs include multi-objective salp swarm algorithm (MSSA) [66], multi-objective ant lion optimizer (MOALO) [67], [68], multi-objective equilibrium optimizer (MOEO) [69] multi-objective lichtenberg algorithm (MOLA) [70], multi-objective slime mould algorithm (MOSMA) [71], [...