多目标浣熊优化算法(Multi-objective Coati Optimization Algorithm,MOCOA)由COA融合多目标策略而成,为了验证所提的MOCOA的有效性,将其在46个多目标测试函数(ZDT1、ZDT2、ZDT3、ZDT4、ZDT6、DTLZ1-DTLZ7、WFG1-WFG10、UF1-UF10、CF1-CF10、Kursawe、Poloni、Viennet2、Viennet3)以及1个工程应用(盘式制动器设计...
浣熊优化算法（COA）由Dehghani Mohammad等人于2022年提出，模仿浣熊的狩猎行为，展现出强大的进化能力、快速收敛和高精度收敛的特点。COA算法具体原理如下：通过模拟浣熊在狩猎过程中的行为，如感知、追踪、捕猎等，来进行优化计算。智能优化算法：浣熊优化算法-附代码_智能算法研学社（Jack旭）的博客-CSDN博客...
Dehghani M, Montazeri Z, Trojovská E et al (2023) Coati optimization algorithm: a new bio-inspired metaheuristic algorithm for solving optimization problems. Knowl-Based Syst 259:110011 Article MATH Google Scholar Faramarzi A, Heidarinejad M, Stephens B et al (2020) Equilibrium optimizer: a...
Dehghani M, Montazeri Z, Trojovská E, Trojovskỳ P (2023) Coati optimization algorithm: a new bio-inspired metaheuristic algorithm for solving optimization problems. Knowl-Based Syst 259:110011 Dewi SK, Utama DM (2021) A new hybrid whale optimization algorithm for green vehicle routing problem...
simulated jellyfish following ocean currents, the Coati Optimization Algorithm (COA) [36], the Gannet Optimization Algorithm (GOA) [37] a numerical model was constructed based on the unique behavior of gannets during foraging. Although these algorithms have good convergence speed and accuracy, they ...
Hence, a multi-objective artificial hummingbird optimization algorithm is proposed and uses to solve the optimal operation strategy of the microgrid. The final optimal operation strategy is obtained from the Pareto solution set using TOPSIS. The results show that the proposed microgrid system has ...
A new approach to medical image fusion based on the improved Extended difference-of-Gaussians combined with the Coati optimization algorithm 2024, Biomedical Signal Processing and Control Citation Excerpt : EPF retain edge information while smoothing the image, fully utilizing spatial information and offe...
In this article, an improved multi-objective coati optimization algorithm (IMOCOA) is used to optimize the operating parameters and thermal comfort environment parameters of chilled water systems to improve thermal comfort and reduce energy consumption. The algorithm introduces chaotic mapping to enhance ...
Beluga Whale Optimization (BWO) is a new metaheuristic algorithm that simulates the social behaviors of beluga whales swimming, foraging, and whale falling. Compared with other optimization algorithms, BWO shows certain advantages in solving unimodal and
The Snake Optimizer (SO), a meta-heuristic optimization algorithm proposed in recent years, is known for its simplicity and effectiveness. However, SO can underperform in certain cases, exhibiting slow convergence and a tendency to get trapped in local optima. To address these shortcomings, this ...