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Hybrid Genetic Algorithm for Cloud Load Balancing by Kai Zhu is a document available to read on EtoBox.

What is Hybrid Genetic Algorithm for Cloud Load Balancing about?

The document describes a hybrid genetic algorithm called multi-agent genetic algorithm (MAGA) for solving load balancing problems in cloud computing. MAGA improves upon traditional genetic algorithms in several ways: it models each individual as an agent that can perceive its environment and interact with other agents; it uses neighborhood competition, orthogonal crossover, and self-learning genetic operators; and it allows agents to evolve with a purpose rather than randomly. The paper proposes using MAGA

Author

Kai Zhu

Language

EN