The following text field will produce suggestions that follow it as you type.

Home

Barnes and Noble

Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling

Unfortunately, this item is no longer available, but we found some similar items you might like.

You May Also Like

Evolutionary Search and the Job Shop: Investigations on Genetic Algorithms for Production Scheduling
Barnes and Noble

Evolutionary Search and the Job Shop: Investigations on Genetic Algorithms for Production Scheduling

From Barnes and Noble
Job Shop Scheduling with Consideration of Due Dates: Potentials of Local Search Based Solution Techniques
Barnes and Noble

Job Shop Scheduling with Consideration of Due Dates: Potentials of Local Search Based Solution Techniques

From Barnes and Noble
Metaheuristics for Scheduling in Industrial and Manufacturing Applications
Barnes and Noble

Metaheuristics for Scheduling in Industrial and Manufacturing Applications

From Barnes and Noble
Computational Intelligence in Flow Shop and Job Shop Scheduling / Edition 1
Barnes and Noble

Computational Intelligence in Flow Shop and Job Shop Scheduling / Edition 1

From Barnes and Noble
Restless Multi-Armed Bandit Opportunistic Scheduling
Barnes and Noble

Restless Multi-Armed Bandit Opportunistic Scheduling

From Barnes and Noble
Intelligent Scheduling of Robotic Flexible Assembly Cells
Barnes and Noble

Intelligent Scheduling of Robotic Flexible Assembly Cells

From Barnes and Noble
Models and Algorithms of Time-Dependent Scheduling
Barnes and Noble

Models and Algorithms of Time-Dependent Scheduling

From Barnes and Noble
Structural Self-Organization in Multi-Agents and Multi-Robotic Systems
Barnes and Noble

Structural Self-Organization in Multi-Agents and Multi-Robotic Systems

From Barnes and Noble
Cooperative Control of Multi-agent Systems: A Hybrid System Approach
Barnes and Noble

Cooperative Control of Multi-agent Systems: A Hybrid System Approach

From Barnes and Noble
Autonomous Dynamic Reconfiguration in Multi-Agent Systems: Improving the Quality and Efficiency of Collaborative Problem Solving
Barnes and Noble

Autonomous Dynamic Reconfiguration in Multi-Agent Systems: Improving the Quality and Efficiency of Collaborative Problem Solving

From Barnes and Noble
Cooperative Control of Multi-Agent Systems: Optimal and Adaptive Design Approaches
Barnes and Noble

Cooperative Control of Multi-Agent Systems: Optimal and Adaptive Design Approaches

From Barnes and Noble
Iterative Software Engineering for Multiagent Systems: The MASSIVE Method
Barnes and Noble

Iterative Software Engineering for Multiagent Systems: The MASSIVE Method

From Barnes and Noble
Advances in Practical Multi-Agent Systems
Barnes and Noble

Advances in Practical Multi-Agent Systems

From Barnes and Noble
Service Orientation in Holonic and Multi-Agent Manufacturing and Robotics
Barnes and Noble

Service Orientation in Holonic and Multi-Agent Manufacturing and Robotics

From Barnes and Noble
Optimal Design of Flexible Manufacturing Systems
Barnes and Noble

Optimal Design of Flexible Manufacturing Systems

From Barnes and Noble
Extending Web Services Technologies: The Use of Multi-Agent Approaches
Barnes and Noble

Extending Web Services Technologies: The Use of Multi-Agent Approaches

From Barnes and Noble
Powered by Adeptmind