We report on broadband nonlinear optical (NLO) responses from a phase-change chalcogenide compound K(4)GeP(4)Se(12). Its glassy phase exhibits unusual second-harmonic generation (SHG) due to the preservation of local crystallographic order. The SHG efficiency of the glassy form can be boosted by more than 2 orders of magnitude by simple heat treatment. Strong SHG and third-harmonic generation f...

Nowadays, the transition from a conventional generation system to a renewable generation system is one of the most difficult challenges for system operators and companies. There are several reasons: the long-standing impact of investment decisions, the proper integration of renewable sources into the system, the present and future uncertainties, and the convenience to consider an integrated yea...

This paper presents an application of Improved Genetic Algorithm (IGA) with the support of Optimal Power Flow (OPF) algorithm for the least cost Generation Expansion Planning (GEP) problem under deregulated environment of power system. The proposed GEP model includes the presence of firm bilateral transactions, multilateral transactions and Independent Power Producers (IPP) in the system. The o...

In this paper one of the new generation soft computing technique that is known as Gene Expression Programming (GEP) is used to develop a meta-model for the multiobjective design of a hypothetical production line. The developed meta-model is used to optimize production line design with Multiple Objective Tabu Search algorithm (MOTS). It is found out that GEP and MOTS can be effectively used to s...

A new market based approach for transmission expansion planning in deregulated environments is presented in this paper. In this approach, transmission-planning decisions are made based on the electric power market conditions. The main contribution of this research is 1) Introducing a new probabilistic tool for analyzing the electric market conditions, 2) Defining new criteria for ranking transm...

In this paper, system planning network is formulated with mixed-integer programming. Two meta-heuristic procedures are considered for this problem. The cost function of this problem consists of the capital investment cost in discrete form, the cost of transmission losses and the power generation costs. The DC load flow equations for the network are embedded in the constraints of the mathematica...

This paper proposes a method for choosing the best coordinated expansion planning of generation and transmission systems considering an annual outage cost and a probabilistic power system reliability criterion (RLOLEGTS). The objective method minimizes a total cost which are not only an investment budget for constructing new generators and transmission lines but also an annual outage cost. Main...