In many real-life problems, objectives under consideration conflict with each other, and optimizinga particular solution with respect to a single objective can result in unacceptable results with respect to theother objectives. This paper proposes a new immune algorithm is developed based upon the concept of clonal selection principle to maintain the balance between exploration and exploitation. The experimental results have shown that the proposed immune algorithm has high performance in optimizing some benchmark functions.
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