this article presents the application of two algorithms: heuristic big bang-big crunch (hbb-bc) and a heuristic particle swarm ant colony optimization (hpsaco) to discrete optimization of reinforced concrete planar frames subject to combinations of gravity and lateral loads based on aci 318-08 code. the objective function is the total cost of the frame which includes the cost of concrete, formw...

Biomedical image processing acts as an essential part of several medical applications in supporting computer aided disease diagnosis. Magnetic Resonance Image (MRI) is a commonly utilized imaging tool used to save glioma for clinical examination. segmentation plays vital role healthcare decision making process which also helps identify the affected regions MRI. Though numerous models are availa...

Particle swarm optimization algorithm in solving complex functions, such as slow convergence, accuracy is not high, easily falling into local optimum problem. Based on the chaos optimization is introduced into particle swarm optimization algorithm, given the chaotic particle swarm optimization algorithm. In order to improve the image quality of CMOS image sensor, the image of the main noise sou...

This article presents a new method based on meta-heuristic algorithm for maximum power point tracking (MPPT) in photovoltaic systems. In this method, the SALP Swarm Algorithm (SSA) is used instead of classic methods such as Perturb and Observe (P&O) method. value duty cycle optimally determined an optimization problem by SSA order to track power. The objective function maximizing output sys...

This paper assumes each user has more than one queue, derives a new packet-dependant proportional fairness power allocation pattern based on the sum of weight capacity and the packet’s priority in users’ queues, and proposes 4 new cross-layer packet-dependant OFDM scheduling schemes based on proportional fairness for heterogeneous classes of traffic. Scenario 1, scenario 2 and scenario 3 lead r...

Popular methods to deal with computation become strenuous due the optimization demands that develop more complex nowadays. This research aims propose a new optimal algorithm, Dove Swarm Optimization (DSO), adopts foraging behaviors of doves have six benchmark functions expressing DSO performance. By considering competition for forage, is designed ensure most satisfied dove as well optimization,...