Hao, "A novel optimization algorithm based on atmosphere clouds model," International Journal of Computational Intelligence and Applications, vol. 12, no. 1, p. Article ID 1350002, 2013.GAO-WEI YAN and ZHAN-JU HAO. A novel optimization algorithm based on atmosphere clouds model. International ...
Equilibrium Optimizer (EO) is a novel optimization algorithm, inspired by control volume mass balance to estimate both dynamic and equilibrium state. In EO, search agents randomly update their concentration (Position) with respect to some talented particles called equilibrium candidates to finally reach...
A novel multi-objective Coronavirus disease optimization algorithm (MOCOVIDOA) is presented to solve global optimization problems with up to three objective functions. This algorithm used an archive to store non-dominated POSs during the optimization process. Then, a roulette wheel selection mechanism ...
This paper proposes a novel optimization method inspired by radar technology: wave search algorithm (WSA). The WSA algorithm not only draws on radar techno
A novel UAV path planning approach: Heuristic crossing search and rescue optimization algorithm - ScienceDirect 这篇论文提出了一种新的无人机(UAV)路径规划方法,该方法基于改进的蚁群优化(ACO)算法。作者首先介绍了无人机路径规划的重要性和挑战,然后详细描述了改进的蚁群优化算法。这种方法通过引入启发式信息和...
AO的Matlab代码位于https://www.mathworks.com/matlabcentral/fileexchange/89381-aquila-optimizer-a-meta-heuristic-optimization-algorithm,而Java代码位于https://www.mathworks。 com / matlabcentral / fileexchange / 89386-aquila-optimizer-a-meta-heuristic-optimization-algorithm。
A novel optimization algorithm for multilayer perceptron- (MLP-) based soft sensors is proposed in this paper. The proposed approach integrates input variable selection and hidden layer optimization on MLP into a constrained optimization problem. The nonnegative garrote (NNG) is implemented to perform...
To overcome the disadvantages of premature convergence and easy trapping into local optimum solutions, this paper proposes an improved particle swarm optimization algorithm (named NDWPSO algorithm) based on multiple hybrid strategies. Firstly, the elite opposition-based learning method is utilized to init...
We intend to introduce a more productive and effective algorithm; this paper introduces a novel natural-inspired based meta-heuristic optimization algorithm, called Aquila Optimizer (AO). The proposed AO algorithm simulates the Aquila’s behavior during hunting in which showing the actions of each st...
This paper presents a comprehensive discussion of the Jaya algorithm, a novel approach for the optimization. There exist two broad categories of heuristic algorithms are: evolutionary algorithms and swarm intelligence. These algorithms' performance vastly depends on the parameters used need extensive tuning...