CST – Computer Simulation Technology

Application of ANT Colony Optimization Based Algorithm to Solve Different Electromagnetic Problems
Oscar Quevedo-Teruel, Eva Rajo-Iglesias
Proc. ‘EuCAP 2006’, Nice, France
1st January 0001
Ant Colony, Optimization, Monopolar UWB Antenna, EBG, Mutual Coupling, Array Design
The aim of this work is to show the use of a well-known type of evolutionary computation optimization technique, the Ant Colony Optimization (ACO), in order to solve different electromagnetic problems: array synthesis both linear and planar and with different design criteria, design of a monopolar Ultra Wide Band (UWB) microstrip antenna and reduction of E-plane mutual coupling in a multilayer patch antennas array. To this aim, an algorithm based on the fundamentals of ACO has been developed. The algorithm uses real numbers and binary ones (depending on the structure to optimize). Some guidelines for the use of the algorithm, especially to create the desirability function, are supplied. The algorithm has demonstrated to be versatile and useful to resolve problems of different nature. Furthermore, the purpose of the work is to show (via these particular applications) the flexibility and easy implementation of this algorithm family that make it suitable to be used in most of electromagnetic optimization problems.

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