Network reconfiguration is a nonlinear optimization procedure which calculates a radial structure to optimize the power losses and improve the network reliability index while meeting practical constraints. In this paper, a multi-objective framework is proposed for optimal network reconfiguration with the objective functions of minimization of power losses and improvement of reliability index. T...

Nowadays, with huge progress in digital imaging, new image processing methods are needed to manage digital images stored on disks. Image retrieval has been one of the most challengeable fields in digital image processing which means searching in a big database in order to represent similar images to the query image. Although many efficient researches have been performed for this topic so far, t...

We proposes an improved grasshopper algorithm for global optimization problems. Grasshopper (GOA) is a recently proposed meta-heuristic inspired by the swarming behavior of grasshoppers. The original GOA has some drawbacks, such as slow convergence speed, easily falling into local optimum, and so on. To overcome these shortcomings, we based on logistic Chaos maps opposition-based learning strat...

The grasshopper algorithm (GOA) is a recent algorithm. It widely used in many applications and results good solution. simple the accuracy very high. GOA has some limitations due to use of linear comfort zone parameter that causes difficulties balancing between exploration exploitation which may lead fall local optimum. In this paper modification made improve operation GOA. A nonlinear function ...

Building form is one of the most critical factors influencing natural ventilation potential in an urban context, and thus has a significant impact on building energy consumption. This paper describes a genetic algorithm based building form optimization methodology that could respond to urban wind environments and achieve the highest natural ventilation potential. To accomplish this goal, script...

Grasshopper Optimization Algorithm (GOA) is a recent swarm intelligence algorithm inspired by the foraging and swarming behavior of grasshoppers in nature. The GOA has been successfully applied to solve various optimization problems several domains demonstrated its merits literature. This paper proposes comprehensive review based on more than 120 scientific articles published leading publishers...