Solar energy is an environmentally sustainable energy source as it is clean and inexhaustible. Solar systems are very common and cost-effective, thus, can be used for many home applications. In this paper, a new method is presented to optimize solar systems economically, regarding to energy cost fluctuations. In spite of conventional analyses, in which the inflation is considered constant, ...

Improving the operation is an attractive option for the process industry to deal with increased competition. In this paper a general dynamic optimization framework is proposed that aims to improve plantwide operation in an economic sense. The term general means that it is based on dynamic operation in which any operational constraints can be accommodated. One would expect economic optimization ...

The structure is the basic attribute of everything. The structure of logistics network is composed of logistics nodes and logistics routes, however the logistics cost mainly happens on the function the logistics route undertakes. So logistics routing optimization is the key to reduce logistics cost. As logistics is the hygiene factor of regional economic development, this article studied on log...

This paper proposes an improved approach based on conventional particle swarm optimization (PSO) for solving an economic dispatch(ED) problem with considering the generator constraints. The mutation operators of the differential evolution (DE) are used for improving diversity exploration of PSO, which called particle swarm optimization with mutation operators (PSOM). The mutation operators are ...

Economic load dispatch (ELD) problem between power plant units is formulated as a nonlinear optimization with continuous variables. The main target in this problem is optimum planning in power plant units with minimum cost while equal and non-equal constraints consisting load request and unit production capacity are followed. In this paper an effective method based on particle swarm algorithm o...

Particle swarm optimization (PSO ) is an effective & reliable evolutionary based approach .Due to its higher quality solution including mathematical simplicity, fast convergence & robustness it has become popular for many optimization problems. There are various field of power system in which PSO is successfully applied. Economic Load Dispatch(ELD) is one of important tasks which provide an eco...

The problem of power system optimization has become a deciding factor in current power system engineering practice with emphasis on cost and emission reduction. The economic and emission dispatch problem has been addressed in this paper using two efficient optimization methods, Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). A hybrid produced from these two algorithms is test...

Future broadband wireless services will involve a range of different technologies, all with varying characteristics. These differences can influence significantly how a service is defined and deployed as well as how it is commercially offered to customers. Key technologies and services that will influence and shape the future broadband telecommunication market include WiFi services based on IEE...

This study presents a new approach based on Tanaka's fuzzy linear regression (FLP) algorithm to solve well-known power system economic load dispatch problem (ELD). Tanaka's fuzzy linear regression (FLP) formulation will be employed to compute the optimal solution of optimization problem after linearization. The unknowns are expressed as fuzzy numbers with a triangular membership function that h...