Multiobjective big data optimization based on a hybrid salp swarm algorithm and differential evolution
Applied Mathematical Modelling(2020)
摘要
•Proposed an alternative method for big data optimization problems.•A hybrid between salp swarm algorithm and differential evolution is used as multi-objective for big data optimization.•A set of single objective and multi-objective problems from the 2015 big data optimization competition is used.•Experimental results show that the proposed method outperforms than other methods.
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关键词
Big Data optimization problem,Multiobjective optimization problem,Metaheuristic techniques,Salp swarm algorithm,Differential evolution
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