In this paper we examine reinforcement learning problems which consist of a set of homogeneous entities. These problems tend to have extremely large state spaces making standard approaches unattractive. We study lane change selection in a car traffic control problem as an example of such a problem. We show how a single agent problem can be translated into an approximating multi-agent problem. W...

The research of adaptativity and reactivity in the control of adaptative manufacturing cells implies distribution of intelligence in decision making. It also entails the difficulty to master and optimize real-time decision-making. The aim of this paper is to study the interest of multi-agent system and eco-resolution, in the control of adaptative manufacturing cells. After an introduction of th...

This paper presents a multi-objective order allocation planning problem with the consideration of various real-world production features. A novel hybrid intelligent optimization model, integrating a multi-objective memetic optimization process, a Monte Carlo simulation technique and a heuristic pruning technique, is proposed to handle this problem. Experiments based on industrial data are condu...

Group decision making plays an important role in today’s organisations. The impact of decision making is so high and complex, that rarely the decision making process is made individually. In Group Decision Argumentation, there is a set of participants, with different profiles and expertise levels, that exchange ideas or engage in a process of argumentation and counter-argumentation, negotiate, ...

one of the most important strategies for governments to increase the efficiency of different economic sectors, including public services such as water, is to protect and strengthen the private sector. bot and boo contracts are among the most common and popular procedures of development of participation and investment from private sector. in this context, providing a good basis for the selection...

Most of the engineering problems are modeled as evolutionary multiobjective optimization problems, but they always ask for only one best solution, not a set of Pareto optimal solutions. The decision maker’s subjective information plays an important role in choosing the best solution from several Pareto optimal solutions. Generally, the decision-making processing is implemented after Pareto opti...

A major competitive advantage of production and service systems is establishing a proper maintenance policy. Therefore, maintenance managers should make maintenance decisions that best fit their systems. Multi-criterion decision-making methods can take into account a number of aspects associated with the competitiveness factors of a system. This paper presents a multi-criterio...

Abstract This paper takes the time weight and attribute weight in different periods into consideration to propose a dynamic triangular fuzzy number type multi-attribute decision making method to solve the problem with multi-attribute decision making with triangular fuzzy number as the attribute value. This method utilizes the characteristics of the triangular fuzzy number in order to establish ...

Dynamic rescheduling decision-making problem is an important issue in modern manufacturing system with the feature of combinational computation complexity. This paper introduces a multi-agent based approach using the detailed process, provided by Prometheus methodology, which used for the design of a simultaneous dynamic rescheduling decision making for flexible flow line manufacturing system t...

Multi-criteria decision making is used in many areas of human activities. Each alternative in multi-criteria decision making problem can be described by a set of criteria. Criteria can be qualitative and quantitative. They usually have different units of measurement and different optimization direction. The normalization aims at obtaining comparable scales of criteria values. The normalization ...