Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: To maximize user satisfaction during composition of b services, a genetic algorithm with population diversity handling is presented for Quality of Service(QoS)-aware b services selection. In this algorithm, the fitness function, the selection mechanism of the population as ll as the competition mechanism of the population are represented. The population diversity and population fitness are used as the primary criteria of the population evolution. By competing beten the current population and the historical optimal population, the whole population evolution can be done on the basis of the whole population evolution principle of the biologic genetic theory. Prematurity is overcome effectively. Experiments on QoS-aware b services selection show that the genetic algorithm with population diversity handling can get more excellent composite service plan than the standard genetic algorithm.
['Chengwen Zhang', 'Sen Su', 'Junliang Chen']
I am writing a research paper on a idea Efficient population diversity handling genetic algorithm for qos-aware web services selection
[{"from": "human", "value": "I am writing a research paper on a idea Efficient population diversity handling genetic algorithm for qos-aware web services selection"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: To maximize user satisfaction during composition of b services, a genetic algorithm with population diversity handling is presented for Quality of Service(QoS)-aware b services selection. In this algorithm, the fitness function, the selection mechanism of the population as ll as the competition mechanism of the population are represented. The population diversity and population fitness are used as the primary criteria of the population evolution. By competing beten the current population and the historical optimal population, the whole population evolution can be done on the basis of the whole population evolution principle of the biologic genetic theory. Prematurity is overcome effectively. Experiments on QoS-aware b services selection show that the genetic algorithm with population diversity handling can get more excellent composite service plan than the standard genetic algorithm."}]