This paper presents application of Improved Bat algorithm for solving Multi-area economic load dispatch problem (MAED) considering tie line constraint, transmission loss, valve point loading effect and prohibited operating zones. Improved bat algorithm is an optimization algorithm motivated by the echolocation behavior of natural bats in finding their foods. Potency of the algorithm is tested on two area system with six generating units and it is compared with artificial bee colony optimization, differential evolution, evolutionary programming and real coded genetic algorithm. The promising results show the quick convergence and effectiveness of the projected technique
Abstract This paper presents both application and comparison of the metaheuristic techniques to mult...
In practical cases, the fuel cost of generators can be represented as a quadratic function of real p...
In this paper, a modified artificial bee colony (MABC) algorithm is presented to solve non-convex dy...
This paper presents application of Improved Bat algorithm for solving Multi-area economic load dispa...
This paper presents application of Improved Bat Algorithm (IBA) for solving Economic Load Dispatch p...
This paper proposes application of BAT algorithm for solving economic load dispatch problem. BAT alg...
This paper presents the application of a new metaheuristic optimization algorithm, the chaotic bat a...
Economic dispatch is an important non-linear optimization task in power systems. In this process, th...
This paper proposes a new meta-heuristic search algorithm, called Bat Algorithm (BA). Bat algorithm ...
Economic dispatch (ED) has been considered to be one of the key functions in electric power system o...
This paper proposes a practical formulation for the non-convex economic dispatch problem to consider...
International audienceInspired by the echolocation behaviors of the bats and the swarm intelligence ...
The current paper offers the solution strategy for the economic dispatch problem in electric power s...
Abstract This paper presents both application and comparison of the metaheuristic techniques to mult...
In practical cases, the fuel cost of generators can be represented as a quadratic function of real p...
In this paper, a modified artificial bee colony (MABC) algorithm is presented to solve non-convex dy...
This paper presents application of Improved Bat algorithm for solving Multi-area economic load dispa...
This paper presents application of Improved Bat Algorithm (IBA) for solving Economic Load Dispatch p...
This paper proposes application of BAT algorithm for solving economic load dispatch problem. BAT alg...
This paper presents the application of a new metaheuristic optimization algorithm, the chaotic bat a...
Economic dispatch is an important non-linear optimization task in power systems. In this process, th...
This paper proposes a new meta-heuristic search algorithm, called Bat Algorithm (BA). Bat algorithm ...
Economic dispatch (ED) has been considered to be one of the key functions in electric power system o...
This paper proposes a practical formulation for the non-convex economic dispatch problem to consider...
International audienceInspired by the echolocation behaviors of the bats and the swarm intelligence ...
The current paper offers the solution strategy for the economic dispatch problem in electric power s...
Abstract This paper presents both application and comparison of the metaheuristic techniques to mult...
In practical cases, the fuel cost of generators can be represented as a quadratic function of real p...
In this paper, a modified artificial bee colony (MABC) algorithm is presented to solve non-convex dy...