Research on Human and Vehicles Coordination Evacuation Simulation Optimization Method under Emergency Incidents

2011 ◽  
Vol 71-78 ◽  
pp. 3091-3096
Author(s):  
Yun Long Ma ◽  
Jian Wang
Keyword(s):  
Ant Colony Algorithm ◽  
Simulation Optimization ◽  
Optimization Method ◽  
Emergency Planning ◽  
Optimal Scheduling ◽  
Regular Pattern ◽  
Improved Genetic Algorithm ◽  
Evacuation Simulation ◽  
Evacuation Strategy ◽  
Coordination System

Among researches on crowd flow evacuation under emergency, there are no deep touch of coordinating evacuation strategy of crowd and traffic, and also can not set models and simulate the whole picture of evacuation. The purpose of this research is to realize the coordinating evacuation of both traffic and crowd. The author divided the situations into Not Intervene and May Intervene, analyzed the coordination system and probed the model of coordinating evacuation. A series of coordinate evacuation method has been put forward based on swarm intelligence and simulation optimization. Based on the result of crowd simulation and Ant colony algorithm, in order to find the optimal traffic evacuation proposal, the author took use of the improved Genetic Algorithm as well as the distributed coordinating simulation, finally found a systematic optimal scheduling program. Also the internal regular pattern of coordinating evacuation has also been revealed. All these will provide support for emergency planning and decision making.

Research on Coordination of Evacuation of Human and Car Simulation Optimization Method

2011 ◽  
Vol 130-134 ◽  
pp. 2185-2189
Author(s):  
Yun Long Ma ◽  
Jian Wang
Keyword(s):  
Genetic Algorithm ◽  
Simulation Optimization ◽  
Optimization Method ◽  
Crowd Simulation ◽  
Optimal Scheduling ◽  
Regular Pattern ◽  
Improved Genetic Algorithm ◽  
Whole Process ◽  
Evacuation Strategy ◽  
Coordination System

Among researches on people evacuation under emergency, there are no deep touch of coordinating evacuation strategy of human and traffic, and also can not set models and simulate the whole process of evacuation. This research focused on the human evacuation under emergencies, divided the situations into Not Intervene and May Intervene, analyzed the coordination system and probed the model of coordinating evacuation. Based on the result of crowd simulation, the author could forecast the result of human evacuation and find the optimal traffic schedule proposal. The author took use of the improved Genetic Algorithm as well as the distributed coordinating simulation, finally found a systematic optimal scheduling program and revealed the internal regular pattern of coordinating evacuation.

A simulation–optimization method: Its convergence and utility

1983 ◽  
Vol 30 (2) ◽  
pp. 227-236 ◽  
Author(s):  
Guy L. Curry ◽  
Darald J. Hartfiel
Keyword(s):  
Simulation Optimization ◽  
Optimization Method

scholarly journals Multi-objective performance optimization of ORC cycle based on improved ant colony algorithm

Open Physics ◽  
2019 ◽  
Vol 17 (1) ◽  
pp. 48-59 ◽  
Author(s):  
Rong He ◽  
Xinli Wei ◽  
Nasruddin Hassan
Keyword(s):  
Performance Optimization ◽  
Ant Colony Algorithm ◽  
Optimal Solution ◽  
Second Law Of Thermodynamics ◽  
Optimization Method ◽  
Ant Colony ◽  
Multi Objective ◽  
Objective Performance ◽  
Performance Evaluation Index ◽  
Improved Ant Colony Algorithm

Abstract To solve the problem of multi-objective performance optimization based on ant colony algorithm, a multi-objective performance optimization method of ORC cycle based on an improved ant colony algorithm is proposed. Through the analysis of the ORC cycle system, the thermodynamic model of the ORC system is constructed. Based on the first law of thermodynamics and the second law of thermodynamics, the ORC system evaluation model is established in a MATLAB environment. The sensitivity analysis of the system is carried out by using the system performance evaluation index, and the optimal working parameter combination is obtained. The ant colony algorithm is used to optimize the performance of the ORC system and obtain the optimal solution. Experimental results show that the proposed multi-objective performance optimization method based on the ant colony algorithm for the ORC cycle needs a shorter optimization time and has a higher optimization efficiency.

Selecting process parameter in injection molding via simulation optimization

2011 ◽  
Vol 31 (5) ◽  
Author(s):  
María G. Villarreal-Marroquín ◽  
Rachmat Mulyana ◽  
José M. Castro ◽  
Mauricio Cabrera-Ríos
Keyword(s):  
Injection Molding ◽  
Simulation Optimization ◽  
Mold Temperature ◽  
Optimization Method ◽  
Performance Measure ◽  
Melt Temperature ◽  
Process Variability ◽  
Composite Function ◽  
Automotive Part ◽  
Adaptive Metamodeling

Abstract A simulation optimization method based on design of experiments and adaptive metamodeling techniques is applied in this work to set process parameters in injection molding. The proposed method is used first to select the best processing conditions to injection molding a disposable camera front plate in the presence of either a single performance measure or a composite function of a series of performance measures. Secondly, it is used to select the best injection gate configuration from three different injection scenarios, as well as the values of mold temperature and melt temperature for a real automotive part in order to minimize process variability. The optimization results are discussed in light of the performance of the simulation optimization method.

scholarly journals An Improved Genetic Algorithm to Optimize Spatial Locations for Double-Wishbone Type Suspension System with Time Delay

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Qiang Li ◽  
Xiaoli Yu ◽  
Jian Wu
Keyword(s):  
Time Delay ◽  
Ride Comfort ◽  
Optimization Method ◽  
Front Wheel ◽  
Vehicle Speed ◽  
Improved Genetic Algorithm ◽  
Vehicle Performance ◽  
Front Suspension ◽  
Wheel Alignment ◽  
Spatial Locations

By taking account of double-wishbone independent suspension with two unequal-length arms, the coordinate values of articulated geometry are based on structural limitations and constraint equations of alignment parameters. The sensitivities of front wheel alignment parameters are analyzed using the space analytic geometry method with insight module in ADAMS® software. The multiobjective optimization functions are designed to calculate the coordinate values of hardpoints with front suspension since the effect of time delay due to wheelbase can be easily obtained by vehicle speed. The K&C characteristics have been investigated using GA solutions in the simulation environment. The camber angle decreases from 1.152° to 1.05° and toe-in angle reduces from 1.036° to 0.944°. The simulation results demonstrate that the suggested optimization method is able to satisfy the suspension motion to enhance ride comfort. Experimental results, obtained by K&C test bench, also indicate that the optimized suspension can track the desired trajectory while keeping the vehicle performance in various road conditions.

Life Balance-Considered Matching Optimization Method for Remanufactured Parts

2020 ◽  
Vol 20 (4) ◽  
Author(s):  
Xuhui Xia ◽  
Shuping Wang ◽  
Zelin Zhang ◽  
Lei Wang ◽  
Yuan Gong
Keyword(s):  
Life Cycle ◽  
Ant Colony Algorithm ◽  
Optimization Method ◽  
Life Balance ◽  
Matching Process ◽  
Component Matching ◽  
Matching Degree ◽  
Full Utilization ◽  
Minimal Life ◽  
Improved Ant Colony Algorithm

Abstract In the manufacturing process of remanufactured products, balancing the life between their components is one of the important measures to achieve full utilization of waste components and sustainable economic development. In order to prolong the life cycle of remanufactured products and increase the life of parts and components, a life balance-considered matching optimization method is proposed for remanufactured parts in the process of components matching. By comprehensively considering the life matching degree of remanufactured parts and the matching success rate, a life balance-considered matching optimization model is established for remanufactured parts. We adopted an improved ant colony algorithm to solve the proposed matching model to get multiple sets of optimal component combinations with minimal life deviations between component combinations. The correctness of the model and the effectiveness of the algorithm are verified by taking the gear reducer component matching process as an example.

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