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Coati Optimization Algorithm: A New Bio-Inspired Metaheuristic Algorithm for Solving Optimization Problems
Journal: Knowledge-Based Systems
Autors: Mohammad Dehghani, Zeinab Montazero, and Pavel Trojovsk�
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STO
COA is simulated in MATLAB software environment. In order to implement COA on optimizing F1 to F23 functions, follow the instructions below:
1- The "main.m" file is the main implementation code that call the information of the objective functions (including: number of variables, upper and lower band of variables, and mathematical formula of the objective function).
This code then puts the objective function information as the input of the COA optimizer to determine its optimal solution.
2- The "fun_info.m" file determines the information of the objective function and provides it to the main program.
3- "COA.m" file is a proposed algorithm that implements COA steps on optimization of objective functions and publishes the optimal solution in the output.
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In order to implement the proposed COA algorithm in solving other optimization problems, dear researchers should put the optimization problem information in "fun_info.m". This includes the following information:
The number of variables, the upper and lower band of variables, and the mathematical formula of the objective function.
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COA(浣熊优化算法),来源于KBS期刊,算法创新点鲜明,适合智能优化算法设计学习
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