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...
1. 算法起源： MOCOA是基于浣熊优化算法进一步发展的结果。COA由Dehghani Mohammad等人于2022年提出，模仿浣熊的狩猎行为，具有强大的进化能力、快速收敛和高精度收敛的特点。2. 算法原理： MOCOA通过模拟浣熊在狩猎过程中的行为，如感知、追踪、捕猎等，来进行多目标优化计算。它结合了COA的优化机制和多目标...
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, 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...
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 ...
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 ...
An active distribution network optimization model with distributed photovoltaic storage is proposed.A novel multi-objective coati optimization algorithm is proposed.A layered optimization method for active distribution networks is proposed.The advantage of the proposed two-tier optimization method is discussed...
In this research, a Multi Objective-Trust Aware Coati Optimization Algorithm (MOTACOA) is proposed to perform secure and reliable data communication over the IoT-WSN under malicious attacks. Initially, the Secure Cluster Head (SCH) from the normal sensors are chosen by opti...
To improve the accuracy and stability of PV power prediction, this study proposes a PV power prediction system based on a dual-layer decomposition strategy and a dynamic grouping multi-objective Coati optimization algorithm (DGMOCOA). This system includes three core modules: data preprocessing, ...
Leveraging computational fluid dynamics (CFD) technology, the study uses the Deep Active Subspace (DAS) model along with the Improved Multi-Objective Coati Optimization Algorithm (IMOCOA). This approach is applied to small-sample dynamic multi-point and multi-objective optimization design with the ...