reducing retrieval time in automated storage and retrieval system with a gravitational conveyor based on multi-agent systems

The main objective of this study is to reduce the retrieval time of a list of products by choosing the best combination of storage and retrieval rules at any time. this is why we start by implementing some storage rules in an automated storage/retrieval system (automated storage and retrieval system: as/rs) fitted with a gravity conveyor while some of these rules are dedicated to storage and others to retrieval. the system is seen as a multi- agent system (mas) where the produced agents are reactive agents that can interact to achieve a behavior (organizing the store). our mas is characterized by a decentralized control, which means that there is no preset plan. the produced agents exchange information such as their color, their distance from the output station, etc. each product merely applies a set of behavioral rules. the aim is to choose the best product to be retrieved in the shortest possible time. the product-type agents have no cognitive ability, but still perform complex tasks.