Beamforming in the Presence of Mutual Coupling Based on Constrained Particle Swarm Optimization

Joint opportunistic power and rate allocation for wireless ad hoc networks: An adaptive particle swarm optimization approach

“…Many constraint-handling techniques have been developed for PSO, such as penalty function method (Chaturvedi et al, 2009;Coello, 2002;Demarcke et al, 2009), the method based on lexicographical order of solutions (Demarcke et al, 2009), and the method based on modified replacement procedure (Pulido and Coello, 2004;Zielinski et al, 2009). The core idea of the first approach is that the objective function is augmented by a weighted version of the constraint (penalty) function, and the weight factor is so-called penalty factor.…”

“…In recent years, particle swarm optimization (PSO) method proposed by Kennedy and Eberhart (1995) has been a popular method used for solving complex nonlinear optimization problems such as optimal economic power dispatch in power system (Chaturvedi et al, 2009;Gaing, 2003;Park et al, 2005), unit commitment (Ting et al, 2006), congestion management in power system (Hazra and Sinha, 2007), beamforming in the presence of mutual coupling (Demarcke et al, 2009), etc. These extensive uses of PSO owe to its merits of no dependence on convexity assumptions, requirement on very little computational time, its simplicity, superior convergence characteristics and high solution quality.…”

Novel Compact Model for the Radiation Pattern of UWB Antennas Using Vector Spherical and Slepian Decomposition

“…An optimal value for W is determined by using a particle swarm optimization algorithm, [26], which maximizes the energy contained in the first 20 orders of the Slepian expansion. The algorithm performed 3000 iterations, after which a value of W = 0.1254 was obtained.…”

Circular Antenna Array Design by Using Evolutionary Search Algorithms

“…Optimization of the positions of array elements is very important for producing a radiation pattern that is as similar as possible to the radiation pattern required to be produced via the relevant antenna array [13][14][15][16][17][18][19][20]. Many researchers studying in the field of electromagnetic optimization problems have conducted many studies on the subject of non-uniformly spaced linear antenna arrays [21][22][23][24].…”

“…Evolutionary algorithms have been commonly used for optimizing Side Lobe Level (SLL) [24][25][26] values of antenna arrays, and ensuring an optimized null control from the designed arrays. Many studies were carried out in order to develop antenna arrays having different geometric characteristics [10][11][12][13][14][15][16][17][18][19][20]. Circular shaped antenna arrays [7,9,11,12] are intensively used in applications such as sonars, radars, mobile and commercial satellite communication systems [27][28][29][30][31][32].…”