Liang, Applications of PSO Algorithm and OIF Elman Neural Network to Assessment and Forecasting for Atmospheric Quality, ICANNGA 2005, 2005WANG L M , SH I X H, L IM , et a l. App lications of PSO algorithm and O IF Elman neural network to assessment and forecasting for A tmos2 ph...
Liu L et al (2021) Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation. Comput Biol Med 138:104910 Article Google Scholar Houssein EH et al (2021) Hybrid slime mould algorithm with adaptive guided differential evolution algorith...
Design of self-biased folded cascode CMOS op-amp using PSO algorithm for low-power applicationsIn this paper, a new dual-output second generation current conveyor (DO-CCII) circuit based-on resistive compensation technique is proposed. The resistive compensation technique is very simple and powerful...
Exploiting these studies, Kennedy and Eberhart developed the PSO algorithm, in which the members of the swarm, called particles have some form of memory and common knowledge and are motivated by a common goal; in the mathematical framework this goal is the global optimum of the objective ...
In this paper, a new optimization algorithm called hybrid leader-based optimization (HLBO) is introduced that is applicable in optimization challenges. The main idea of HLBO is to guide the algorithm population under the guidance of a hybrid leader. The
We remark that optimization algorithms such as particle swarm optimization (PSO) and the genetic algorithm (GA) can be adopted to design spatiotemporal metasurfaces as well. However, the present theory establishes the natural way to generate the required spectral responses of the meta-atom at arbit...
Solving multi-objective model of assembly line balancing considering preventive maintenance scenarios using heuristic and grey wolf optimizer algorithm Kai Meng, Qiuhua Tang, Zikai Zhang, Chunlong Yu Article 104183 select article Data-driven order reduction in Hammerstein–Wiener models of plasma dynamics...
Particle swarm optimization (PSO) is a heuristic global optimization method, proposed originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used optimization techniques. This...
The white shark algorithm has different phases and uses the velocity vector to update the solutions like the PSO algorithm. One of the challenges of this algorithm is to keep the global-to-local search strategy the same according to the repetition of the WSO algorithm. The rate of convergence...
Akhtar N, Siddique B (2017) On hierarchical visualization of event detection in Twitter. In: Advances in computer and computational sciences, pp 571–579 Alam P, Booth D, Lee K, Thordarson T (2000) The use of fuzzy clustering algorithm and self-organizing neural networks for identifying poten...