In this paper, we focus on allocating of social service facilities which are operated under the f... more In this paper, we focus on allocating of social service facilities which are operated under the first-comefirst-serve rule. In such facilities, users cannot make a reservation in advance. To reduce congestion, it is desirable to adjust a schedule by communication devices. We propose the user-in-the-loop forecasting with the statement-based cost estimate, and apply to two types of facility allocation models, i.e., the theme park scenario and the highway scenario. The computer experiments show that the proposed estimate caused better results in both scenarios to reduce congestion. In particular, the users in the highway scenario could achieve a near user equilibrium situation without any advance experience of the system.
International Series in Operations Research & Management Science, 2002
This paper describes the planning system developed for precision farming. Particularly, the syste... more This paper describes the planning system developed for precision farming. Particularly, the system aims to support the cooperative works between global positioning system (GPS) based autonomous tractor and its applicators. The autonomous tractor can run precisely in fields according to GPS based navigation. The applicators can be controlled to perform variable outputs according to the precise position in fields. Using the tractor and its applicators, we can realize precision farming according to several conditions in fields. In order to use the autonomous tractor system, the planning system is developed for storing the field information, navigating the tractor and planning the variable farm-work. In this paper, we show the outline of the total systems, planning methods of navigation and optimizing variable farm-work. The results of experiments applied to the planning system will be shown.
Proceedings of the 2013 IEEE/SICE International Symposium on System Integration, 2013
ABSTRACT SNS is widely used as a convenient communication tool. In addition, the effect measureme... more ABSTRACT SNS is widely used as a convenient communication tool. In addition, the effect measurement of campaigns, social prediction and trend analysis using the SNS has also been proposed in several researches. However due to inappropriate posts in SNS, a phenomenon that avalanche of criticisms against the poster is occurring frequently. This phenomenon is called “Flaming”. Since this pursues excessive social responsibility to not only the poster but to organizations related to the poster, flaming is becoming an important social problem in Japan. In this paper, we analyze the trend of the flaming based on past cases toward for protecting the flaming.
Proceedings of 1995 IEEE International Conference on Evolutionary Computation
The evolutionary theory advocated by Lamarck [3], focuses on the inheritance of characteristics a... more The evolutionary theory advocated by Lamarck [3], focuses on the inheritance of characteristics acquired for self-adaptation to environment. In the domain of the purpose of acquiring adaptive strategies, it is important to make use of the information of experiences through adaptation. Therefore, the Lamarckian mechanism is an effective approach and is expected to augment the power of many kinds of evolving or learning algorithms. In this paper, we propose the Lamarckian Lookup-Table type Genetic Algorithm (LLT-GA). In general, the effectiveness of the characteristics useful for adaptation depends on a class or rather a landscape of problems to be applied. In order to demolish this barrier, the proposed LLT-GA is armed with a control mechanism for acquired characteristics based on a concept of Genetic Supervision. In this paper we discuss first Lamarckian effect and demonstrate that it is dependent on a landscape of a problem. Then, we develop an adaptive evaluation module for Lamarckian evolution with Genetic Supervision. The simulation results show the effectiveness of the proposed LLT-GA.
International Series in Operations Research & Management Science, 2002
The final goal of this research is to realize a small airship robot that can automatically achiev... more The final goal of this research is to realize a small airship robot that can automatically achieve a given task. The airship is subjected to strong inertial forces and air resistance. Although reinforcement learning methods could be expected to control a small airship, the ...
International Transactions in Operational Research, 2001
In this paper, we propose a face identification system based on the Mahalanobis–Taguchi System (M... more In this paper, we propose a face identification system based on the Mahalanobis–Taguchi System (MTS). The MTS is one of the pattern recognition methods frequently used in quality engineering, and can perform robust pattern recognition by using training data, including noise. It is likely that this advantage will allow the effective implementation of a robust face identification system against lighting and face position fluctuations. Moreover, the MTS can optimize the number of attributes required for identification by using the orthogonal array and the signal/noise (SN) ratio. The face identification system has to deal with many users and the amount of data in a facial image is large. Therefore, the time required for identification can be decreased and the amount of data in the facial image database can be reduced by performing the optimization. We confirmed the effectiveness of the proposed system through practical experiments. The experimental results revealed that the MTS was an ...
Proceedings of 1995 IEEE International Conference on Evolutionary Computation, 1995
Genetic algorithms (GAs) are developed to model mechanisms of natural evolution, and are known as... more Genetic algorithms (GAs) are developed to model mechanisms of natural evolution, and are known as robust search procedures. It has been reported, however, that the canonical GA cannot discover optima on some types of problems called GA-hard problems easily. In this paper, to overcome defects of the canonical GA without disturbing its characteristics, we propose the filtering-GA which can modify the fitness landscape in an adaptive way. On the modified landscape, it will discover many local or global optima sequentially. Since this approach does not depend on representation, the filtering-GA with genetic operators developed to solve specific problems must also work well. To make sure of this proposition, we apply the filtering-GA with edge-recombination to traveling salesman problems (TSP) of which configuration of cities forms double concentric circles. In the computer simulation, comparing the discovered results on various configurations, the characteristics of this approach become clear, and we discuss the efficiency and problems of the filtering-GA through observing its search process on these configurations
In this paper, we focus on allocating of social service facilities which are operated under the f... more In this paper, we focus on allocating of social service facilities which are operated under the first-comefirst-serve rule. In such facilities, users cannot make a reservation in advance. To reduce congestion, it is desirable to adjust a schedule by communication devices. We propose the user-in-the-loop forecasting with the statement-based cost estimate, and apply to two types of facility allocation models, i.e., the theme park scenario and the highway scenario. The computer experiments show that the proposed estimate caused better results in both scenarios to reduce congestion. In particular, the users in the highway scenario could achieve a near user equilibrium situation without any advance experience of the system.
International Series in Operations Research & Management Science, 2002
This paper describes the planning system developed for precision farming. Particularly, the syste... more This paper describes the planning system developed for precision farming. Particularly, the system aims to support the cooperative works between global positioning system (GPS) based autonomous tractor and its applicators. The autonomous tractor can run precisely in fields according to GPS based navigation. The applicators can be controlled to perform variable outputs according to the precise position in fields. Using the tractor and its applicators, we can realize precision farming according to several conditions in fields. In order to use the autonomous tractor system, the planning system is developed for storing the field information, navigating the tractor and planning the variable farm-work. In this paper, we show the outline of the total systems, planning methods of navigation and optimizing variable farm-work. The results of experiments applied to the planning system will be shown.
Proceedings of the 2013 IEEE/SICE International Symposium on System Integration, 2013
ABSTRACT SNS is widely used as a convenient communication tool. In addition, the effect measureme... more ABSTRACT SNS is widely used as a convenient communication tool. In addition, the effect measurement of campaigns, social prediction and trend analysis using the SNS has also been proposed in several researches. However due to inappropriate posts in SNS, a phenomenon that avalanche of criticisms against the poster is occurring frequently. This phenomenon is called “Flaming”. Since this pursues excessive social responsibility to not only the poster but to organizations related to the poster, flaming is becoming an important social problem in Japan. In this paper, we analyze the trend of the flaming based on past cases toward for protecting the flaming.
Proceedings of 1995 IEEE International Conference on Evolutionary Computation
The evolutionary theory advocated by Lamarck [3], focuses on the inheritance of characteristics a... more The evolutionary theory advocated by Lamarck [3], focuses on the inheritance of characteristics acquired for self-adaptation to environment. In the domain of the purpose of acquiring adaptive strategies, it is important to make use of the information of experiences through adaptation. Therefore, the Lamarckian mechanism is an effective approach and is expected to augment the power of many kinds of evolving or learning algorithms. In this paper, we propose the Lamarckian Lookup-Table type Genetic Algorithm (LLT-GA). In general, the effectiveness of the characteristics useful for adaptation depends on a class or rather a landscape of problems to be applied. In order to demolish this barrier, the proposed LLT-GA is armed with a control mechanism for acquired characteristics based on a concept of Genetic Supervision. In this paper we discuss first Lamarckian effect and demonstrate that it is dependent on a landscape of a problem. Then, we develop an adaptive evaluation module for Lamarckian evolution with Genetic Supervision. The simulation results show the effectiveness of the proposed LLT-GA.
International Series in Operations Research & Management Science, 2002
The final goal of this research is to realize a small airship robot that can automatically achiev... more The final goal of this research is to realize a small airship robot that can automatically achieve a given task. The airship is subjected to strong inertial forces and air resistance. Although reinforcement learning methods could be expected to control a small airship, the ...
International Transactions in Operational Research, 2001
In this paper, we propose a face identification system based on the Mahalanobis–Taguchi System (M... more In this paper, we propose a face identification system based on the Mahalanobis–Taguchi System (MTS). The MTS is one of the pattern recognition methods frequently used in quality engineering, and can perform robust pattern recognition by using training data, including noise. It is likely that this advantage will allow the effective implementation of a robust face identification system against lighting and face position fluctuations. Moreover, the MTS can optimize the number of attributes required for identification by using the orthogonal array and the signal/noise (SN) ratio. The face identification system has to deal with many users and the amount of data in a facial image is large. Therefore, the time required for identification can be decreased and the amount of data in the facial image database can be reduced by performing the optimization. We confirmed the effectiveness of the proposed system through practical experiments. The experimental results revealed that the MTS was an ...
Proceedings of 1995 IEEE International Conference on Evolutionary Computation, 1995
Genetic algorithms (GAs) are developed to model mechanisms of natural evolution, and are known as... more Genetic algorithms (GAs) are developed to model mechanisms of natural evolution, and are known as robust search procedures. It has been reported, however, that the canonical GA cannot discover optima on some types of problems called GA-hard problems easily. In this paper, to overcome defects of the canonical GA without disturbing its characteristics, we propose the filtering-GA which can modify the fitness landscape in an adaptive way. On the modified landscape, it will discover many local or global optima sequentially. Since this approach does not depend on representation, the filtering-GA with genetic operators developed to solve specific problems must also work well. To make sure of this proposition, we apply the filtering-GA with edge-recombination to traveling salesman problems (TSP) of which configuration of cities forms double concentric circles. In the computer simulation, comparing the discovered results on various configurations, the characteristics of this approach become clear, and we discuss the efficiency and problems of the filtering-GA through observing its search process on these configurations
Uploads
Papers by Keiji Suzuki