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- W2567191808 abstract "This paper proposes a novel versatile genetic algorithm (GA) for solving the graph distribution problem. The new GA is based mainly on an inspirational idea that exploits the Newton’s universal gravitation law to introduce a novel GA fitness function. By this,the new GA preserves the workload balancing property between the different sites of the graph network and reduces the inter-processors communications overhead. Moreover, three main variants of the novel GA are developed. The two first; centralized and distributed variants, are developed to conduct a graph distribution over homogeneous architectures. The third variant is a distributed one devoted for heterogeneous architectures where the impact of the auto-adaptation features of the GA emerges. The results obtained and the comparative studies show the effectiveness of the proposed methods." @default.
- W2567191808 created "2017-01-06" @default.
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- W2567191808 date "2016-12-01" @default.
- W2567191808 modified "2023-09-27" @default.
- W2567191808 title "Newton’s Law of Universal Gravitation Based Genetic Algorithm for Graph Distribution" @default.
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- W2567191808 doi "https://doi.org/10.1142/s146902681650022x" @default.
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