GMMSO: game model-combined improved moth search optimization approach for reconfigurable asymmetric multi-processor system-on-chip architecture

Moth search (MS) is a nature-inspired metaheuristic optimization algorithm based on the most representative characteristics of moths, Lévy flights and phototaxis. Phototaxis signifies a movement which organism towards or away from a source of light, which is the representative features for moths. The best moth individual is seen as the light source in Moth search. The moths that have a smaller distance from the best one will fly around the best individual by Lévy flights. For reasons of phototaxis, the moths, far from the fittest one, will fly towards the best one with a big step. These two features, Lévy flights and phototaxis, correspond to the processes of exploitation and exploration for metaheuristic optimization. The superiority of the moth search has been demonstrated in many benchmark problems and various application areas. A comprehensive survey of the moth search was conducted in this paper, which included the three sections: statistical research studies about moth search, different variants of moth search, and engineering optimization/applications. The future insights and development direction in the area of moth search are also discussed.

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GMMSO: game model-combined improved moth search optimization approach for reconfigurable asymmetric multi-processor system-on-chip architecture

Cited by 2 publications

References 24 publications

Evaluation and validation of efficient hierarchical interconnection in multi-processor system on chip

Evaluation and validation of efficient hierarchical interconnection in multi-processor system on chip

Moth Search: Variants, Hybrids, and Applications

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