The economic dispatch problem of power plays a very important role in the exploitation of electro-energy systems to judiciously distribute power generated by all plants. This paper proposes the use of Cuckoo Search Algorithm (CSA) for solving the economic and Emission dispatch. The effectiveness of the proposed approach has been tested on 3 generator system.CSA is a new meta-heuristic optimization method inspired from the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds of other species.The results shows that performance of the proposed approach reveal the efficiently and robustness when compared results of other optimization algorithms reported in literature
This paper presents an application of Cuckoo search algorithm to determine optimal location and sizi...
This paper presents a Cuckoo Search (CS) based algorithm to solve constrained economic load dispatch...
This paper proposed the use of population estimation in a new meta-heuristic called Cuckoo search (C...
The economic dispatch problem of power plays a very important role in the exploitation of electro-en...
This paper presents cuckoo search algorithm (CSA) for solving non-convex economic load dispatch (ELD...
This paper presents one of the latest nature-inspired meta-heuristics algorithms, namely Cuckoo Se...
This paper presents the application of Cuckoo Search Algorithm (CSA) in solving the combined econom...
In this paper, Multiobjective Cuckoo Search Algorithm (MOCSA) is developed to solve Economic Load Di...
Economic load dispatch (ELD) is an important optimization problem for operating and controlling mode...
This paper presents the application of modified cuckoo search algorithm (MCSA) for solving economic ...
AbstractThis paper presents an evolutionary algorithm named as Cuckoo Search algorithm applied to no...
This paper solves an optimal reactive power scheduling problem in the deregulated power system using...
This paper presents a Swarm Intelligence (SI) technique namely Cuckoo Search Algorithm (CSA) which i...
The essential objective of optimal power flow is to find a stable operating point which minimizes th...
The economic dispatch problem of power plays a very important role in the exploitation of electro-en...
This paper presents an application of Cuckoo search algorithm to determine optimal location and sizi...
This paper presents a Cuckoo Search (CS) based algorithm to solve constrained economic load dispatch...
This paper proposed the use of population estimation in a new meta-heuristic called Cuckoo search (C...
The economic dispatch problem of power plays a very important role in the exploitation of electro-en...
This paper presents cuckoo search algorithm (CSA) for solving non-convex economic load dispatch (ELD...
This paper presents one of the latest nature-inspired meta-heuristics algorithms, namely Cuckoo Se...
This paper presents the application of Cuckoo Search Algorithm (CSA) in solving the combined econom...
In this paper, Multiobjective Cuckoo Search Algorithm (MOCSA) is developed to solve Economic Load Di...
Economic load dispatch (ELD) is an important optimization problem for operating and controlling mode...
This paper presents the application of modified cuckoo search algorithm (MCSA) for solving economic ...
AbstractThis paper presents an evolutionary algorithm named as Cuckoo Search algorithm applied to no...
This paper solves an optimal reactive power scheduling problem in the deregulated power system using...
This paper presents a Swarm Intelligence (SI) technique namely Cuckoo Search Algorithm (CSA) which i...
The essential objective of optimal power flow is to find a stable operating point which minimizes th...
The economic dispatch problem of power plays a very important role in the exploitation of electro-en...
This paper presents an application of Cuckoo search algorithm to determine optimal location and sizi...
This paper presents a Cuckoo Search (CS) based algorithm to solve constrained economic load dispatch...
This paper proposed the use of population estimation in a new meta-heuristic called Cuckoo search (C...