in distribution systems, in order to diminish power losses and keep voltage profiles within acceptable limits, network reconfiguration and capacitor placement are commonly used. in this paper, the hybrid shuffled frog leaping algorithm (hsfla) is used to optimize balanced and unbalanced radial distribution systems by means of a network reconfiguration and capacitor placement. high accuracy and ...

Abstract This study focused on energy saving in hub system using smart grid technologies and management of the demand. The two-layer is proposed for implementing saving. In first layer, demand such as electrical, thermal natural gas are optimized subject to optimal level at day-ahead. Then, applied second layer reduction generation costs. optimization approach done by shuffled frog leaping algo...

The COVID-19 pandemic and competitiveness pressure the pharmaceutical companies to acquire systems designed be as reliable possible. present paper aims optimize design of a plant through reliability allocation heterogeneous components under constraints. problem is solved by resorting three nature-inspired algorithms artificial intelligence (AI): grey wolf optimizer (GWO), shuffled frog-leaping ...

In order to overcome the drawbacks of standard shuffled frog leaping algorithm that converges slowly at the last stage and easily falls into local minima, this paper proposed two-phases learning shuffled frog leaping algorithm. The modified algorithm added the elite Gaussian learning strategy in the global information exchange phase, updated frog leaping rule and added the learning capability t...

In pipeline transportation of slurry, the existing calculation models of critical deposition velocity face the problem of different model forms only suitable for specific conditions. To address this problem, this paper uses improved “shuffled frog leaping algorithm” (SFLA) to optimize the parameters of the computational model in order to calculate critical deposition velocity. This has been fou...

Resource scheduling under the condition of cloud computing has always been the focus of current research. This paper analyzes the current situation of cloud computing and introduces shuffled frog leaping algorithm in resource allocation. Aiming at that shuffled frog algorithm is easy to fall into local optimum with fast convergence speed, artificial vector machine is introduced into the subgrou...

The shuffled frog leaping algorithm (SFLA) easily falls into local optimum when it solves multioptimum function optimization problem, which impacts the accuracy and convergence speed. Therefore this paper presents grouped SFLA for solving continuous optimization problems combined with the excellent characteristics of cloud model transformation between qualitative and quantitative research. The ...

This paper presents a newly developed optimization approach involving a modified shuffled frog leaping algorithm (MSFLA) applied for the solution of the economic emission load dispatch (EELD) problem. The approach utilizes the local search strategies for searching global solution. MSFLA is developed on the same frame work of shuffled frog leaping algorithm (SFLA). In this proposed algorithm, a ...

Reconfigurable system on chip is well known for its flexibility for high performance embedded systems. The hardware/software (HW/SW) partitioning is the most important phase during the design of reconfigurable system on chip. A great many different algorithms have been adopted for solving the hardware/software partitioning problem. Shuffled Frog Leaping Algorithm (SFLA) is popular for its simpl...

The parameter identification problem can be modeled as a non-linear optimization problem. In this problem, some unknown parameters of a mathematical model presented by an ordinary differential equation using some experimental data must be estimated. This paper presents a shuffled frog leaping algorithm for solving parameter identification problem. An opposition-based initialization strategy is ...