基于遗传算法的复杂网络社区探测是当前的研究热点.针对该问题,本文在分析网络模块性函数Q的局部单调性的基础上,给出一种快速、有效的局部搜索变异策略,同时为兼顾初始种群的精度和多样性以达到进一步提高搜索效率的目的,采用了标签传...基于遗传算法的复杂网络社区探测是当前的研究热点.针对该问题,本文在分析网络模块性函数Q的局部单调性的基础上,给出一种快速、有效的局部搜索变异策略,同时为兼顾初始种群的精度和多样性以达到进一步提高搜索效率的目的,采用了标签传播作为初始种群的产生方法;综上,提出了一个结合局部搜索的遗传算法(Genetic algorithm with local search,LGA).在基准网络及大规模复杂网络上对LGA进行测试,并与当前具有代表性的社区探测算法进行比较,实验结果表明了文中算法的有效性与高效性.展开更多
In the traditional power system demand response, customers respond to electricity price or incentive and change their original power consumption pattern accordingly to gain additional benefits. With the development of...In the traditional power system demand response, customers respond to electricity price or incentive and change their original power consumption pattern accordingly to gain additional benefits. With the development of multi-energy systems (MES) in which electricity, heat, natural gas and other forms of energy are coupled with each other, all types of energy customers are able to participate in demand response, leading to the concept of integrated demand response (IDR). In IDR, energy consumers can response not only by reducing energy consumption or opting for off-peak energy consumption but also by changing the type of the consumed energy. Taking the traditional demand response in power system as a starting point, the studies of the fundamental theory, framework design and potential estimation of demand response in power system are reviewed, and the practical cases and software development of demand response are introduced. Finally, the current theoretical research and application of IDR are assessed.展开更多
文摘基于遗传算法的复杂网络社区探测是当前的研究热点.针对该问题,本文在分析网络模块性函数Q的局部单调性的基础上,给出一种快速、有效的局部搜索变异策略,同时为兼顾初始种群的精度和多样性以达到进一步提高搜索效率的目的,采用了标签传播作为初始种群的产生方法;综上,提出了一个结合局部搜索的遗传算法(Genetic algorithm with local search,LGA).在基准网络及大规模复杂网络上对LGA进行测试,并与当前具有代表性的社区探测算法进行比较,实验结果表明了文中算法的有效性与高效性.
基金supported by the Major Smart Grid Joint Project of National Natural Science Foundation of China and State Grid(No.U1766212)International(Regional)Joint Research Project of National Natural Science Foundation of China(No.71961137004).
文摘In the traditional power system demand response, customers respond to electricity price or incentive and change their original power consumption pattern accordingly to gain additional benefits. With the development of multi-energy systems (MES) in which electricity, heat, natural gas and other forms of energy are coupled with each other, all types of energy customers are able to participate in demand response, leading to the concept of integrated demand response (IDR). In IDR, energy consumers can response not only by reducing energy consumption or opting for off-peak energy consumption but also by changing the type of the consumed energy. Taking the traditional demand response in power system as a starting point, the studies of the fundamental theory, framework design and potential estimation of demand response in power system are reviewed, and the practical cases and software development of demand response are introduced. Finally, the current theoretical research and application of IDR are assessed.
