As an example of the distributed decision making in multiple robotic systems, this chapter deals with a path planning for a structure organization of the CEBOT. As a search method of the path planning, this cha
This work presents two computational models to address the departure sequencing problem in airports according to Collaborative Decision Making. The first model is GeDMAN, a departure management system that uses Genetic Algorithm. The second one named as CoDMAN is based on the negotiation among the ...
This paper presents a system to support decision making in housing customization using a hybrid approach combining case-based reasoning (CBR) and genetic algorithm (GA). With this system, a customer is able to participate in the design process by customizing the house according to one's ...
and improve the algorithm as an accelerated genetic algorithm encoded with real numbers, so as to speed up the convergence speed, improve the accuracy and robustness of the model, and finally find the best projection value of the sample, rank the quality of corporate water disclosure, and solve...
genetic algorithmsmanufacturing systemsMany research areas, such as transportation, manufacturing planning, and control, use flow networks for decision making. Such networks delineate the many plans that can exist in solving a given problem. The goal is to find the best plan according to some ...
This paper introduces a modified version of a genetic algorithm with aggressive mutation (GAAM), one of the genetic algorithms (GAs) used for feature selec
Over the years, researchers have attempted to develop asset replacement models to aid decision-making in building portfolio management, based upon' a statistical or an heuristic approach. This study attempts to use genetic algorithms to develop models for forecasting long term asset replacement ...
evolutionary computation techniques such as genetic algorithm (GA) [6], [7], evolutionary programming (EP) [2], multi-objective particle swarm optimization (MPSO) [8], harmony search (HS) [9], fuzzy decision making (FDM) [10] and improved ant colony search algorithm (ACSA) [11] have be...
In doing so, the local search algorithm turns a given solution into a nearby local optimum. In order to devise an effective local search algorithm, the key point is the neighbourhood structure (also called neighbourhood rule). Besides, two Neighbourhood structures As mentioned, the neighbourhood ...
2.Application and realization of GA in machine accessory processing craftwork decision-making;遗传算法在机械零件加工工艺决策中的应用和实现 3.GA-based PID temperature control system for vacuum induction furnace;基于遗传算法的真空感应炉PID温度控制系统 4)Genetic Algorithm(GA)遗传算法 1.On this basis,the...