Multi-objective Environmental/Economic Dispatch Using the Bees Algorithm with Weighted Sum
This paper presents using the Bees Algorithm for Environmental/Economic power Dispatch problem which is formulated as a nonlinear constrained multi-objective optimisation problem. In this problem, both fuel cost and emission are to be simultaneously minimised. Simulation results presented for the standard IEEE 30-bus system using the Bees Algorithm with Weighted Sum are compared to other previous approaches and the comparison shows the superiority of the proposed Bees Algorithm and confirms its potential to solve the multi-objective EED problem.
KeywordsFuel Cost Multiobjective Evolutionary Algorithm Strength Pareto Evolutionary Algorithm Flower Patch Niched Pareto Genetic Algorithm
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