The paper presents using Differential Evolution (DE) and Shuffled Frog Leaping Algorithm (SFLA) to optimally tune parameters of a fuzzy logic controller stabilizing a rotary inverted pendulum system at its upright equilibrium position. Both the DE and SFLA are meta-heuristic search methods. DE belongs to the class of evolutionary algorithms while SFLA is inspired from the memetic evolution of a...

This paper proposes Hybrid SFL-Bees Algorithm that combines strengths of Shuffled Frog Leaping Algorithm (SFLA) and Bees Algorithms (BA). While SFLA can find optimal solutions quickly because of directive searching and exchange of information, BA has higher random that make it easily escape local optima to find global solutions. Thus Hybrid SFL-Bees Algorithm is able to find optimal solutions q...

In this paper, the Shuffled Frog Leaping Algorithm is proposed to solve the Profit Based Unit Commitment problem under deregulated environment with emission limitation. The bi-objective function optimization problem is formulated as a maximization of the Generation Companies profit and a minimization of the emission output of the thermal units, while all of the constrains should be satisfied. 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...

In the recent restructured power system scenario and complex market strategy, operation at absolute minimum cost is no longer the only criterion for dispatching electric power. The economic load dispatch (ELD) problem which accounts for minimization of both generations cost and power loss is itself a multiple conflicting objective function problem. In this paper, a modified shuffled frog-leapin...

Cuckoo search (CS) is a novel biologically inspired algorithm and has been widely applied to many fields. Although some binary-coded CS variants are developed to solve 0-1 knapsack problems, the search accuracy and the convergence speed are still needed to further improve. According to the analysis of the shortcomings of the standard CS and the advantage of the global harmony search (GHS), a no...

In order to minimize the total active power loss and improve the voltage profile of the power system, several solutions have been proposed, including the integration of Distributed Generation (DG) in the radial distribution network. The location and size of DG are important, because a wrong choice has a negative impact on the system behavior. Several researchers have used many methods for solvi...

Several benefits can be gained from implementation of Distributed Energy Resources (DERs) in distributed systems. This paper proposes the application of Shuffled Frog Leaping Algorithm to optimally determination the location and size of multiple DERs considering a multi-objective benchmark. Several objectives including loss minimization, reduction in power purchased from the network and upgrade...

Abstract Efficient and accurate porosity prediction is essential for the fine description of reservoirs, which an optimized BP neural network (BPNN) model proposed. Aiming at problem that BPNN sensitive to initialization converges local optimum easily, improved shuffled frog leaping algorithm (ISFLA) proposed based on roulette genetic coding. Firstly, a mechanism introduced improve selection pr...