Case-based reasoning
Case-Based Reasoning: Experiences, Lessons and Future Directions
Case-Based Reasoning: Experiences, Lessons and Future Directions
Intelligent autonomy and performance metrics for multiple, coordinated UAVs
Integrated Computer-Aided Engineering - Performance Metrics for Intelligent Systems
Autonomous robot motion in an unknown environment by local 3D elevation map construction
Integrated Computer-Aided Engineering - Informatics in Control, Automation and Robotics
An integrated approach to bioprocess recipe design
Integrated Computer-Aided Engineering
Global optimization of case-based reasoning for breast cytology diagnosis
Expert Systems with Applications: An International Journal
Fuzzy case-based reasoning for facial expression recognition
Fuzzy Sets and Systems
A new autonomous agent approach for the simulation of pedestrians in urban environments
Integrated Computer-Aided Engineering
An Introduction to MultiAgent Systems
An Introduction to MultiAgent Systems
Multi-agent system to monitor oceanic environments
Integrated Computer-Aided Engineering
A multi-agent system for managing adverse weather situations on the road network
Integrated Computer-Aided Engineering
Engineering Applications of Artificial Intelligence
A qualitative agent-based approach to power quality monitoring and diagnosis
Integrated Computer-Aided Engineering - Multi-Agent Systems for Energy Management
Multi-agent based reconfiguration of AC-DC shipboard distribution power system
Integrated Computer-Aided Engineering - Multi-Agent Systems for Energy Management
Adaptive case-based reasoning using retention and forgetting strategies
Knowledge-Based Systems
Classification of melanomas in situ using knowledge discovery with explained case-based reasoning
Artificial Intelligence in Medicine
Learning fuzzy rules for similarity assessment in case-based reasoning
Expert Systems with Applications: An International Journal
Simulation evaluation for on-demand bus system with electrical vehicles
Intelligent Decision Technologies - Special issue on design of intelligent environment
A Decentralized Approach for Anticipatory Vehicle Routing Using Delegate Multiagent Systems
IEEE Transactions on Intelligent Transportation Systems
Agent-based cloud workflow execution
Integrated Computer-Aided Engineering - Anniversary Volume: Celebrating 20 Years of Excellence
Vehicle-to-grid communication system for electric vehicle charging
Integrated Computer-Aided Engineering - Anniversary Volume: Celebrating 20 Years of Excellence
Teleoperation of multi-agent systems with nonuniform control input delays
Integrated Computer-Aided Engineering
Integrated Computer-Aided Engineering
Fuzzy agent-based approach for consensual design synthesis in product configuration
Integrated Computer-Aided Engineering
2D and 3D palmprint information, PCA and HMM for an improved person recognition performance
Integrated Computer-Aided Engineering
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Electric Vehicles EV represent a completely open new field full of promising opportunities that are nowadays arising; one of the most challenging is the driver support for charging stations CS. The usage of EVs in the city requires specific infrastructures and computational support to ensure an efficient and correct deployment. Consequently, new services are required to fulfil with the EV needs that will arise: e.g. booking a service in a CS, selecting the most appropriate CS in relation to current EV location, booking a CS, or finding the best route to the CS. All the support services should consider not only the user preferences but also the best route restrictions, which are related with minimum energy requirements and avoiding the EV running out of energy before reaching the CS. In this study, a Case Based Reasoning decision support system considering the EV's restrictions in routing to CS is proposed and developed to validate the need of service enhancement. Furthermore, a multi-agent approach to deal with these services is described: agents should interact based on the traffic and energy information --e.g., their states, the current and destination locations, traffic data and events. All these studies are embedded in a more ambitious project to provide EV infrastructures in Spain. Computational experiments performed for real-data study cases using the proposed CBR system compared to traditional routing methods confirm the need to develop dedicated models and consider EV's features and restrictions in designing supporting algorithms.