Travelers＇ route choice behavior, a dynamical learning process based on their own experience, traffic information, and influence of others, is a type of cooperation optimization and a constant day-to-day evolutionary...Travelers＇ route choice behavior, a dynamical learning process based on their own experience, traffic information, and influence of others, is a type of cooperation optimization and a constant day-to-day evolutionary process. Travelers adjust their route choices to choose the best route, minimizing travel time and distance, or maximizing expressway use. Because route choice behavior is based on human beings, the most intelligent animals in the world, this swarm behavior is expected to in- corporate more intelligence. Unlike existing research in route choice behavior, the influence of other travelers is considered for updating route choices on account of the reality, which makes the route choice behavior from individual to swarm. Anew swarm intelligence algorithm inspired by travelers＇ route choice behavior for solving mathematical optimization problems is introduced in this paper. A comparison of the results of experiments with those of the classical global Particle Swarm Optimization （PSO） algorithm demonstrates the efficacy of the Route Choice Behavior Algorithm （RCBA）. The novel algorithm provides a new approach to solving complex problems and new avenues for the study of route choice behavior.展开更多
基于通用数学建模(the general algebraic modeling system,GAMS)软件,针对耦合可再生能源技术的分布式冷热电联供(renewable energy coupled combined cooling,heating and power,RCCHP)系统构建数学模型,并结合上海市某综合区域为案例...基于通用数学建模(the general algebraic modeling system,GAMS)软件,针对耦合可再生能源技术的分布式冷热电联供(renewable energy coupled combined cooling,heating and power,RCCHP)系统构建数学模型,并结合上海市某综合区域为案例,选取2项经济性指标和1项环境性指标,对4种情景下RCCHP系统的运行情况进行模拟计算与分析,分析该系统的设备组合、逐时运行策略、经济性与环境性,同时分析了可再生清洁发电技术与能源政策对分布式多联供系统的影响.结果表明,夜间采用电网购电与风力发电互补供应电负荷、白天使用CCHP耦合风力发电联合互补供能是经济性最佳的运行策略,能够抑制可再生能源的波动性并且实现多种电能的完全消纳.与传统分产(separated production,SP)系统相比,RCCHP系统能够极大地降低系统对电网的依赖度,减少耗气量,同时极大地提高系统的环境性,但其较高的初始投资费用限制了其经济性与实用性.展开更多
基金the National Natural Science Foundation of China （Grant Nos. U1564212, 61672082 and 61572229）.
文摘Travelers＇ route choice behavior, a dynamical learning process based on their own experience, traffic information, and influence of others, is a type of cooperation optimization and a constant day-to-day evolutionary process. Travelers adjust their route choices to choose the best route, minimizing travel time and distance, or maximizing expressway use. Because route choice behavior is based on human beings, the most intelligent animals in the world, this swarm behavior is expected to in- corporate more intelligence. Unlike existing research in route choice behavior, the influence of other travelers is considered for updating route choices on account of the reality, which makes the route choice behavior from individual to swarm. Anew swarm intelligence algorithm inspired by travelers＇ route choice behavior for solving mathematical optimization problems is introduced in this paper. A comparison of the results of experiments with those of the classical global Particle Swarm Optimization （PSO） algorithm demonstrates the efficacy of the Route Choice Behavior Algorithm （RCBA）. The novel algorithm provides a new approach to solving complex problems and new avenues for the study of route choice behavior.
文摘基于通用数学建模(the general algebraic modeling system,GAMS)软件,针对耦合可再生能源技术的分布式冷热电联供(renewable energy coupled combined cooling,heating and power,RCCHP)系统构建数学模型,并结合上海市某综合区域为案例,选取2项经济性指标和1项环境性指标,对4种情景下RCCHP系统的运行情况进行模拟计算与分析,分析该系统的设备组合、逐时运行策略、经济性与环境性,同时分析了可再生清洁发电技术与能源政策对分布式多联供系统的影响.结果表明,夜间采用电网购电与风力发电互补供应电负荷、白天使用CCHP耦合风力发电联合互补供能是经济性最佳的运行策略,能够抑制可再生能源的波动性并且实现多种电能的完全消纳.与传统分产(separated production,SP)系统相比,RCCHP系统能够极大地降低系统对电网的依赖度,减少耗气量,同时极大地提高系统的环境性,但其较高的初始投资费用限制了其经济性与实用性.
