The bio-inspired research field has evolved greatly in the last few years due to large number of novel proposed algorithms and their applications. sources inspiration for these are various, ranging from behavior groups animals properties various plants. One problem is lack one algorithm which can produce best global solution all types optimization problems. presented considers proposal a approa...

Accurate estimation of fuel cost curve parameters in thermal power plants is great importance because these directly influence the economic dispatch calculations. In this paper, a semidefinite programming (SDP) approach was proposed for functions' plants. The parameter problem designed as minimization problem, where objective function accepted total absolute error (TAE) study. Also, linear, qua...

This paper presents the generation and transmission expansion planning (GTEP) considering switched capacitive banks (SCBs) allocation in power system, including demand response program (DRP). scheme is based on system flexibility. The objective function of minimizes expected cost that equaled to summation total construction costs SCBs, units (GUs) lines (TLs), operating GUs. It concerned with A...

A coupling is a mechanism that transmits operative power between two shafts are revolving at different speeds. connects their ends and can slip or fail depending on the torque limit. It an essential component of any transmission system may survive for very long time if properly designed maintained. This study's current research, newly developed optimization algorithms used to minimize volume co...

A new technique presents to improve the performance of dynamic voltage restorer (DVR) for voltage sag mitigation. This control scheme is based on cuckoo search algorithm with tree fuzzy rule based classifier (CSA-TFRC). CSA is used for optimizing the output of TFRC so the classification output of the network is enhanced. While, the combination of cuckoo search algorithm, fuzzy and decision tree...

This paper introduces the optimization algorithm to improve search rate in urban path routing problems using viral infection and local search in urban environment. This algorithm operates based on two different approaches including wavelet transform and genetic algorithm. The variables proposed by driver such as degree of difficulty and difficulty traffic are of the essence in this technique. W...

Augmented Downhill Simplex Method (ADSM) is introduced here, that is a heuristic combination of Downhill Simplex Method (DSM) with Random Search algorithm. In fact, DSM is an interpretable nonlinear local optimization method. However, it is a local exploitation algorithm; so, it can be trapped in a local minimum. In contrast, random search is a global exploration, but less efficient. Here, rand...

  The clustering problem under the criterion of minimum sum of squares is a non-convex and non-linear program, which possesses many locally optimal values, resulting that its solution often falls into these trap and therefore cannot converge to global optima solution. In this paper, an efficient hybrid optimization algorithm is developed for solving this problem, called Tabu-KM. It gathers the ...

In this paper an integrated lot-sizing and scheduling problem in a flexible job shop environment with machine-capacity-constraint is studied. The main objective is to minimize the total cost which includes the inventory costs, production costs and the costs of machine’s idle times. First, a new mixed integer programming model,with small bucket time approach,based onProportional Lot sizing and S...