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...
This manuscript proposes the Coati Optimization Algorithm with Deep Learning-Driven Mitotic Nuclei Segmentation and Classification (COADL-MNSC) technique. The major aim of the COADL-MNSC technique is to utilize the DL model to segment and classify the mitotic nuclei (MN). In the preliminary stage...
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...
In response to the challenges faced by the Coati Optimization Algorithm (COA), including imbalance between exploration and exploitation, slow convergence speed, susceptibility to local optima, and low convergence accuracy, this paper introduces an enhanc
Coati Optimization Algorithm (COA) is a novel metaheuristic algorithm created by Dehghani in 20231, COA algorithm, which simulates Coati's hunting behavior, has the characteristics of strong searching ability and fast convergence speed. But, due to the random generation of the initial population, it...
Spiral case and surrounding concrete Water pipe cooling Parametric inversion Improved coati optimization algorithm Nomenclature b Empirical constants c Specific heat capacity, (kJ/kg °C) D Diameter of the water pipe (m) f Heat flux density function hgen Cooling rate hp Thickness of the water pipe...
Coati Optimization Algorithm has drawbacks, including reduced optimization accuracy in the search space and a tendency to get trapped in local optima. To address these shortcomings, this paper proposes an Enhanced Coati Optimization Algorithm (EnCOA). Firstly, to address the shortcomings of the ...
To counteract these adverse effects, wind power-based distributed generation (DG) resources were optimally allocated in the 240-bus network using the coati optimization algorithm (COA), which is a recently developed metaheuristic algorithm. A multi-objective optimization problem was formulated to ...
the challenges faced by the Coati Optimization Algorithm (COA), including imbalance between exploration and exploitation, slow convergence speed, susceptibility to local optima, and low convergence accuracy, this paper introduces an enhanced variant termed the Adaptive Coati Optimization Algorithm (ACOA)....