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Phase Only Synthesis Time Modulated Array (POSTMA) is a new technique to reduce side lobe level (SLL) in radar application using phase only synthesis. It consists in applying successive sets of weights to the array elements during the integration time in order to generate an “average” SLL. Additional zeros can also be placed in the radiation pattern to suppress interference. It is also possible to...
The circular waveguide slot array with a hole in the center is one of the key techniques to realize the shared aperture composite guiding. Due to the influence of the hole, a sound realization of low side-lobe pattern is the difficulty and key for this antenna. The waveguide broadside shunt slot array only can realize low side-lobe by controlling the distribution of the amplitude. And it needs to...
Not all bugs lead to program crashes, and not always is there a formal specification to check the correctness of a software test's outcome. A common scenario in software testing is therefore that test data are generated, and a tester manually adds test oracles. As this is a difficult task, it is important to produce small yet representative test sets, and this representativeness is typically measured...
This paper presents an Computational Intelligence (CI)-based algorithm for optimizing the configuration of a photovoltaic (PV) array of a grid-connected photovoltaic (GCPV) system using Genetic Algorithm (GA). GA had been used to determine the optimal number of PV modules per strings and the optimal number of parallel PV strings such that the technical performance of the system could be optimized...
Materials such as milk, paper, white paint and biological tissue scatter light. As a result, transmitted light intensity through these materials is a speckle pattern, having often a short persistence time. Recently, advances in optics to control light through disordered media have reported an increasing efficiency. Consequently, that allows us to foresee a real time sensor that achieve such task in...
Estimation of a suitable window shape and appropriate weights in weighted median filters is one of important problems. In this study, we formulate the design of weighted median filter as an optimization problem, and estimate optimal filters directly from degraded images. In our previous work, we estimated optimal window shapes and weights by using a Genetic Algorithm (GA) with a fixed size of window...
Phased array antenna uses phase shifters to change the beam direction, thereby introducing the periodic quantization lobe,and raising the peak sidelobe level. The appropriate two probable Value (A2PV) can effectively suppress the parasitic lobe. But the A2PV method result is an average optimum of a statistical sense. The peak sidelobe is random and has large variance. This paper introduces the adaptive...
Genetic algorithm (GA) has been widely used in a variety of communication network design problems. The encoding method is the essential issue for GA. In this paper we investigate the topology optimization of the tree-like overlay multicast systems with degree constraints. A new encoding method based on the degree-weighted array is proposed. It requires no repair strategies for the encoding, crossover...
In the present paper we propose a new way to generate Bessel-type beams in the terahertz rang. According to the technique of pattern synthesis of antenna array, a uniform circular antenna array (UCA) is designed optimally to produce quasi-Bessel or Bessel-Gauss pattern. These beams possess a long depth of field and therefore have many important applications in the quasi-optic and/or terahertz fields...
A novel method of designing array-fed reflector antenna for spatial power combining is proposed. The reflector is modeled using NURBS surface. Genetic algorithm is used to optimize the shape of surface and get the maximum power combining efficiency by adjusting the positions of NURBS surface's control points properly. The optimal positions of the control points can be attained. Besides, we also study...
This paper presents a relay-based algorithm for the synthesis of a finite state machine to determine the optimal state assignment with less area and power dissipations. The algorithm utilizes the experience of past runners as in a relay race by a guide and the configuration of past solutions by a relay. Combined with rough and focusing methods, it could escape local optima and achieve an effective...
In this study, we proposed a bio-inspired technique known as modified cuckoo search (MCS)-based weighted sum algorithm towards synthesizing symmetric linear array geometry with minimum side lobe level (SLL) and/or nulls control. The newly evolved metaheuristic algorithm was primarily based on the natural obligate brood parasitic behavior of some cuckoo species in combination with the Lévy flight behavior...
The hardware implementations of decimal arithmetic operations, which are commonly used in financial, scientific, and internet-based applications requiring accuracy and speed, become prominent. In this paper we first analyze the column sum boundaries of n-digit parallel decimal array multipliers (PDAM). A general form of the problem is formed and a heuristic solution is found with Genetic Algorithm...
Collaborate beamforming in wireless sensor networks (WSNs) is a concept of using beamforming technology to establish link in the networks. It can effectively increase the transmission distance and improve the energy efficiency of the networks. Due to random deployment of the sensor nodes in the networks, proper assignment for the sensor nodes in wireless sensor networks is vital to achieve better...
An evolutionary algorithm was used to model and characterize the tribological behaviors of diamond-like carbon (DLC) films deposited by an-unbalanced magnetron. An orthogonal array experiment with carbon nitride multi layer films, with and without Zr additives is introduced and the effects of deposited parameters were systematically explored. The surface properties, such wear properties were measured...
This paper investigates the influence of different crossover operators on the efficiency of the hybrid Taguchi genetic algorithm and aims to provide guidelines for algorithm's usage in continuous optimization. We examine the hybrid Taguchi genetic algorithm (HTGA) with 8 different crossover operators and apply it to 15 benchmark numerical optimization problems. The implementation uses binary representation...
Recently, Multi-Objective Differential Evolution (MODE), powerful and efficient population-based stochastic processing, has become an indispensable algorithm for solving numerical optimization problems widely. It is found in various benchmark functions that traditional MODE is unable to search global optima completely, falling into local optima because only using one strategy to search global optimal...
The authors examine optimization of the antenna array beamformer bank for a technique to apply coherent signal subspace processing in the beam-space of a bank of true time delay beamformers. This technique offers computational expense advantages over element-space methods, Mean Square Error (MSE) performance similar to wideband coherent subspace techniques and is frequency invariant. This article...
The Portfolio Optimization problem is an example of a resource allocation problem with money as the resource to be allocated to assets. We first have to select the assets from a pool of them available in the market and then assign proper weights to them to maximize the return and minimize the risk associated with the Portfolio. In our work, we have introduced a new “greedy coordinate ascent mutation...
Monitoring low frequency and long period ground motions is important to investigate the motion mechanism under deep ground and helps to understand earthquake occurrence, where the signal processing techniques and numerical optimization have played a fundamental role in detecting seismic information from the seismograms. In this paper an extended spectral analysis based algorithm is presented to estimate...
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