Bottleneck stage and reentrance often exist in real-life manufacturing processes;however,the previous research rarely addresses these two processing conditions in a scheduling problem.In this study,a reentrant hybrid ...Bottleneck stage and reentrance often exist in real-life manufacturing processes;however,the previous research rarely addresses these two processing conditions in a scheduling problem.In this study,a reentrant hybrid flow shop scheduling problem(RHFSP)with a bottleneck stage is considered,and an elite-class teaching-learning-based optimization(ETLBO)algorithm is proposed to minimize maximum completion time.To produce high-quality solutions,teachers are divided into formal ones and substitute ones,and multiple classes are formed.The teacher phase is composed of teacher competition and teacher teaching.The learner phase is replaced with a reinforcement search of the elite class.Adaptive adjustment on teachers and classes is established based on class quality,which is determined by the number of elite solutions in class.Numerous experimental results demonstrate the effectiveness of new strategies,and ETLBO has a significant advantage in solving the considered RHFSP.展开更多
As more and more social robots are applied in human-populated environments,they need an affective model to communicate with human beings naturally and believably.In addition,the model should be flexible to be applied ...As more and more social robots are applied in human-populated environments,they need an affective model to communicate with human beings naturally and believably.In addition,the model should be flexible to be applied in different areas,such as entertainment and education,and can be easily understood and operated by robot designers.To meet these requirements,we propose an affective model including emotions,moods and personality traits for social robots to mimic the affect changes of human beings.Inspired by the Plutchik's Wheel of Emotions,we first construct an affective space which can simultaneously represent the affective concepts.According to the affective space,the model can be visualized vividly and easily understood.We then describe the interaction among these concepts to change the robot states to make the robot interact with human beings naturally and believably.By tuning the parameters of the model,it can be flexibly applied in different areas.We evaluate the proposed model in simulation and human-robot interaction experiments and the experimental results show that the model is effective.展开更多
基金the National Natural Science Foundation of China(Grant Number 61573264).
文摘Bottleneck stage and reentrance often exist in real-life manufacturing processes;however,the previous research rarely addresses these two processing conditions in a scheduling problem.In this study,a reentrant hybrid flow shop scheduling problem(RHFSP)with a bottleneck stage is considered,and an elite-class teaching-learning-based optimization(ETLBO)algorithm is proposed to minimize maximum completion time.To produce high-quality solutions,teachers are divided into formal ones and substitute ones,and multiple classes are formed.The teacher phase is composed of teacher competition and teacher teaching.The learner phase is replaced with a reinforcement search of the elite class.Adaptive adjustment on teachers and classes is established based on class quality,which is determined by the number of elite solutions in class.Numerous experimental results demonstrate the effectiveness of new strategies,and ETLBO has a significant advantage in solving the considered RHFSP.
基金the National Natural Science Foundation of China(No.91748101).
文摘As more and more social robots are applied in human-populated environments,they need an affective model to communicate with human beings naturally and believably.In addition,the model should be flexible to be applied in different areas,such as entertainment and education,and can be easily understood and operated by robot designers.To meet these requirements,we propose an affective model including emotions,moods and personality traits for social robots to mimic the affect changes of human beings.Inspired by the Plutchik's Wheel of Emotions,we first construct an affective space which can simultaneously represent the affective concepts.According to the affective space,the model can be visualized vividly and easily understood.We then describe the interaction among these concepts to change the robot states to make the robot interact with human beings naturally and believably.By tuning the parameters of the model,it can be flexibly applied in different areas.We evaluate the proposed model in simulation and human-robot interaction experiments and the experimental results show that the model is effective.
