Salp Swarm Algorithm (SSA) is a well-established metaheuristic that was inspired by the foraging behavior of salps in deep oceans and has proved to be beneficial in estimating global optima for optimization problems. The objective of this article is to promote and boost the performance of the ...
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...
Taheri B, Aghajani G, Sedaghat M (2017) Economic dispatch in a power system considering environmental pollution using a multi-objective particle swarm optimization algorithm based on the Pareto criterion and fuzzy logic. Int J Energy Environ Eng 8(2):99–107.https://doi.org/10.1007/s40095-017...
Liu et al. [18] put forth a multi-objective trajectory planning model for manipulators based on the improved multi-objective salp swarm algorithm (LMSSA). This model combines logistic-sine chaotic mapping, small-hole imaging learning strategy, and golden-sine development strategy with the objective...
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 ...
In this regard, the optimization-based FIR filter using multiobjective improved Salp swarm optimization algorithm have been designed. The proposed method not only minimizes the ripples of pass band and stop band but also minimizes the transition band, number of sparsity, which is used to implement...
This approach combines two distinct strategies: Task Splitting Agglomerative Clustering (TSAC) with an Input Oriented Salp Swarm Algorithm (IOSSA), which prioritizes tasks based on urgency, and a refined multi-leader model that accelerates optimization processes, enhancing both speed and accuracy. By ...
multi-objective salp swarm algorithmcoverage optimizationIn complex two-dimensional monitoring environments, how to enhance network efficiency and network lifespan while utilizing limited energy resources, and ensuring that wireless sensor networks achieve the required partial coverage of the monitoring area, ...
Interval forecasting Multi-objective salp swarm algorithm Fuzzy set theory Best compromise solution Least square support vector machine 1. Introduction Driven by the increasing demand for wind energy generation capacity and increasing energy shortage in the past few years, wind power forecasting, as one...