Artificial bee colony optimization for the combined heat and power economic dispatch problem

This paper presents a new approach for solving the Combined Heat and Economic Dispatch (CHPED) problem using an artificial bee colony algorithm (ABC). Artificial Bee Colony algorithm (ABC) is inspired by the foraging behavior of honey bee swarm, is a biological inspired optimization. It shows more effective than the other optimization algorithms. The performance of the proposed algorithm ABC is validated by illustration with single area cogeneration test system. The results of the proposed algorithm are compared with those of Practical Swarm Optimization (PSO), ABC, Real -Coded Genetic Algorithm (RCGA), Bee Colony Optimization (BCO) and Evolutionary Programming techniques (EP). From numerical results, it is seen that the proposed algorithm is able to provide a better solution at a lesser computational effort.