Solving the balance problem of massively multiplayer online role-playing games using coevolutionary programming

In massively multiplayer online role-playing games (MMORPGs), each race holds some attributes and skills. Each skill contains several abilities such as physical damage and hit rate. All those attributes and abilities are functions of the character's level, which are called Ability-Increasing Functions (AIFs). A well-balanced MMORPG is characterized by having a set of well-balanced AIFs. In this paper, we propose a coevolutionary design method, including integration with the modified probabilistic incremental program evolution (PIPE) and the cooperative coevolutionary algorithm (CCEA), to solve the balance problem of MMORPGs. Moreover, we construct a simplest turn-based game model and perform a series of experiments based on it. The results indicate that the proposed method is able to obtain a set of well-balanced AIFs more efficiently, compared with the simple genetic algorithm (SGA), the simulated annealing algorithm (SAA) and the hybrid discrete particle swarm optimization (HDPSO) algorithm. The results also show that the performance of PIPE has been significantly improved through the modification works.     

RPMS在大连石化催化料调合优化测算中的应用

RPMS模型优化原理是用线性规划方法,在满足设置的约束条件下求取目标函数最优值。利用RPMS模型对催化料调合进行优化测算,通过模型优化求解得到各方案的最优二次装置负荷、最优产品分布,并选出了效益最好的调合方案,为生产优化提供了决策支持。     

基于软PLC的电气控制器设计

针对以传统PLC为核心设计的控制器存在的电路和控制方式复杂的问题,选用具有可靠性高、抗干扰能力强、易在线修改、易调试操作,具有CAN通信模块的新型软PLC作为电气控制器的控制核心,实现对外部信号的采集、转换、控制,达到了对系统精确控制的目的。实践表明,以软PLC为核心的电气控制器的成功应用,不仅提高了电气控制系统的稳定性和可靠性,且为其他控制系统提供了技术支持和应用依据。     

乙苯负压脱氢制苯乙烯大型实验装置自动控制系统设计

随着我国高等学校各项建设工作的大力推进,实验设备的需求也逐渐丰富起来。传统的化学工程专业实验设备的控制简单,与现今的大工业生产的装置自动化程度相比,有一定的脱节。这对于高校培养具有创新能力的"技术型"和"应用型"人才是不利的。华东理工大学化工学院的化学工程与工艺专业实验中心自主设计具有计算机控制的,能适应本专业学生的大型化工流程实验装置——乙苯负压脱氢制苯乙烯装置,运用MCGS工控组态软件对乙苯负压脱氢制苯乙烯装置进行自动控制系统的设计,实现了对脱氢装置的实验过程的监控,从而达到了实验的要求。     

捣固焦炉装煤车走行安全控制优化

针对攀钢3#、4#捣固焦炉装煤车和推焦机的走行系统,分析了现用的防碰撞方法和装置的局限性,提出了使用FK-ULS型激光防碰撞报警器实现装煤车与推焦机走行时的防碰撞解决方案,提高了装煤车、推焦机的走行安全性。     

红外温度测量系统的应用

介绍了红外测温仪在焦炉上的应用,通过在线自动测量迅速反应焦饼温度,对焦炉的热工调节进行指导,同时减轻了操作强度,提高了测量精度,改善了热工调节。     

余热锅炉蒸汽流量的温度压力补偿及在DCS系统中的实现方法

将"IFC-1967公式"用于水蒸汽流量的温度压力补偿,可以保证企业精确测量及统计蒸汽流量和累计用量。利用DCS系统提供的结构化文本编程组态方式,将IFC-1967公式写入到系统,并封装成通用功能块,在DCS系统中实现了对余热锅炉过热蒸汽流量的准确测量。     

Optimization models for shale gas water management

There are four key aspects for water use in hydraulic fracturing, including source water acquisition, wastewater production, reuse and recycle, and subsequent transportation, storage, and disposal. Water use life cycle is optimized for wellpads through a discrete‐time two‐stage stochastic mixed‐integer linear programming model under uncertain availability of water. The objective is to minimize expected transportation, treatment, storage, and disposal cost while accounting for the revenue from gas production. Assuming freshwater sources, river withdrawal data, location of wellpads, and treatment facilities are given, the goal is to determine an optimal fracturing schedule in coordination with water transportation, and its treatment and reuse. The proposed models consider a long‐time horizon and multiple scenarios from historical data. Two examples representative of the Marcellus Shale play are presented to illustrate the effectiveness of the formulation, and to identify optimization opportunities that can improve both the environmental impact and economical use of water. © 2014 American Institute of Chemical Engineers AIChE J, 60: 3490–3501, 2014     

Optimal maintenance scheduling of a gas engine power plant using generalized disjunctive programming

A new continuous‐time model for long‐term scheduling of a gas engine power plant with parallel units is presented. Gas engines are shut down according to a regular maintenance plan that limits the number of hours spent online. To minimize salary expenditure with skilled labor, a single maintenance team is considered which is unavailable during certain periods of time. Other challenging constraints involve constant minimum and variable maximum power demands. The objective is to maximize the revenue from electricity sales assuming seasonal variations in electricity pricing by reducing idle times and shutdowns in high‐tariff periods. By first developing a generalized disjunctive programming model and then applying both big‐M and hull reformulation techniques, we reduce the burden of finding the appropriate set of mixed‐integer linear constraints. Through the solution of a real‐life problem, we show that the proposed formulations are very efficient computationally, while gaining valuable insights about the system. © 2014 American Institute of Chemical Engineers AIChE J, 60: 2083–2097, 2014     

Integration of scheduling and control for batch processes using multi‐parametric model predictive control

Integration of scheduling and control results in Mixed Integer Nonlinear Programming (MINLP) which is computationally expensive. The online implementation of integrated scheduling and control requires repetitively solving the resulting MINLP at each time interval. (Zhuge and Ierapetritou, Ind Eng Chem Res. 2012;51:8550–8565) To address the online computation burden, we incorporare multi‐parametric Model Predictive Control (mp‐MPC) in the integration of scheduling and control. The proposed methodology involves the development of an integrated model using continuous‐time event‐point formulation for the scheduling level and the derived constraints from explicit MPC for the control level. Results of case studies of batch processes prove that the proposed approach guarantees efficient computation and thus facilitates the online implementation. © 2014 American Institute of Chemical Engineers AIChE J, 60: 3169–3183, 2014