Rethinking of controller placement problem from static optimization to multi-objective dynamic optimization.

Annual Conference on Genetic and Evolutionary Computation (GECCO)(2022)

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摘要
The controller placement problem (CPP) is modeled as a dynamic multi-objective combinatorial optimization problem (DMOCPP). A novel algorithm is introduced - Dynamic multi-objective controller placement algorithm (DMOCPA) based on the multi-population and multi-objective quantum-inspired Salp Swarm Algorithm (MMQSSA) to solve the DMOCPP. The proposed work advances the field of traditional networking, to address the issues when the networks are highly dynamic and complex.
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关键词
The Controller Placement Problem, Computational Intelligence, Dynamic Multiobjective Optimization
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