Artificial Bee Colony Optimization Embedded with Simulated Annealing for the Combined Heat and Power Economic Dispatch Problem

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This paper presents a new approach for solving the Combined Heat and Economic Dispatch (CHPED) problem using an integrated algorithm based on artificial bee colony algorithm (ABC) and Simulated Annealing (SA). 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. However, ABC is good at exploration but poor at exploitation, and its convergence speed is also slow in some cases. To overcome this deficiency, this paper proposes an improved ABC algorithm called ABC-SA algorithm.   In this algorithm ABC is acting as a base level search to direct the search towards the optima region and local searches synergistically combined with simulated Annealing (SA). The performance of the proposed algorithm (ABC-SA) is validated by illustration with 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), SA 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.
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Artificial Bee Colony Optimization; Cogeneration; Combined Heat and Power Economic Dispatch; Simulated Annealing

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