Stochastic search algorithms that take their inspiration from nature are gaining a great attention of many researchers to solve high dimension and non – linear complex optimization problems for which traditional methods fails. Shuffled frog – leaping algorithm (SFLA) is recent addition to the family of stochastic search algorithms that take its inspiration from the foraging process of frogs. SF...

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 ...

rainfall-runoff modeling is most important component in the water resource management of river basins. the successful application of a conceptual rainfall-runoff model depends on how well it is calibrated. the degree of difficulty in solving the global optimization method is generally dependent on the dimensionality of the model and certain of the characteristics of object function. the purpose...

Infrastructure assessment and renewal have been in the center of attention worldwide. While the infrastructure is the foundation for economic growth, a large percentage of existing facilities are rapidly deteriorating due to age, outdated technology, and insufficient capacity for population growth. Prioritizing infrastructure facilities for repair purposes, the allocation of the limited funds, ...

In order to handle large scale problems, this study has used shuffled frog leaping algorithm. This algorithm is an optimization method based on natural memetics that uses a new two-phase modification to it to have a better search in the problem space. The suggested algorithm is evaluated by comparing to some well known algorithms using several benchmark optimization problems. The simulation res...

Cuckoo algorithm is a novel optimization algorithm in the field of heuristic intelligence algorithms. Given the strong random leaping in solution space search, careful local searches are susceptible to falling into the local optimum. Thus, the latter phase of the optimization slows down and the accuracy diminishes. To improve the performance of the algorithm, this paper proposes an improved cuc...