Abstract
Artificial Bee colony is one of the most efficient optimizing technique introduced so far. Artificial Bee Colony simulates the brilliant behavior honey bee swarm. Considering the environmental impacts that grow from the emission produced by the conventional fuel power plants, the economic dispatch that minimizes only the total fuel cost can no longer be considered as single objective function. The ABC strategy is based on mathematical modelling to solve economic, emission and combined economic & emission dispatch problems by a single equivalent objective function. In this work ABC is used for large set of numerical test function and the result produced by ABC algorithm are compared with the result obtained by other optimizing techniques like Particle Swarm Optimization, Genetic Algorithm Optimization, etc. Results shows that performance of ABC is better than or similar to other optimizing techniques with the advantage of employing lesser control parameters.
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