Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Task scheduling is one of the core steps to effectively exploit the capabilities of distributed heterogeneous computing systems. , a novel discrete differential evolution (DDE) algorithm is presented to address the task scheduling problem. The encoding schemes and the adaptation of classical differential evolution algorithm for dealing with discrete variables are discussed as ll as the technique needed to handle boundary constraints. The performance of the proposed DDE algorithm is shod by comparing it with a genetic algorithm, which is a ll-known population-based probabilistic heuristic, on a large number of randomly generated instances. Experimental results indicate that the proposed DDE algorithm has generated better results than GA in terms of both solution quality and computational time.
['Qinma Kang', 'Hong He']
I am writing a research paper on a idea A novel discrete differential evolution algoritnm for task scheduling in heterogeneous computing systems
[{"from": "human", "value": "I am writing a research paper on a idea A novel discrete differential evolution algoritnm for task scheduling in heterogeneous computing systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Task scheduling is one of the core steps to effectively exploit the capabilities of distributed heterogeneous computing systems. , a novel discrete differential evolution (DDE) algorithm is presented to address the task scheduling problem. The encoding schemes and the adaptation of classical differential evolution algorithm for dealing with discrete variables are discussed as ll as the technique needed to handle boundary constraints. The performance of the proposed DDE algorithm is shod by comparing it with a genetic algorithm, which is a ll-known population-based probabilistic heuristic, on a large number of randomly generated instances. Experimental results indicate that the proposed DDE algorithm has generated better results than GA in terms of both solution quality and computational time."}]