Andere Kunden interessierten sich auch für
![Beyond the Task Force Conops: The Path to a Capabilities-Based Modernization Framework for the Air Force]( "Beyond the Task Force Conops: The Path to a Capabilities-Based Modernization Framework for the Air Force")
Beyond the Task Force Conops: The Path to a Capabilities-Based Modernization Framework for the Air Force59,99 €![Unified Behavior Framework in an Embedded Robot Controller]( "Unified Behavior Framework in an Embedded Robot Controller")
Unified Behavior Framework in an Embedded Robot Controller59,99 €![Unified Behavior Framework for Reactive Robot Control in Real-Time Systems]( "Unified Behavior Framework for Reactive Robot Control in Real-Time Systems")
Unified Behavior Framework for Reactive Robot Control in Real-Time Systems60,99 €![Multi Objective Decision Analysis for Assignment Problems]( "Multi Objective Decision Analysis for Assignment Problems")
Multi Objective Decision Analysis for Assignment Problems60,99 €![A Group Theoretic Tabu Search Methodology for Solving the Theater Distribution Vehicle Routing and Scheduling Problem]( "A Group Theoretic Tabu Search Methodology for Solving the Theater Distribution Vehicle Routing and Scheduling Problem")
A Group Theoretic Tabu Search Methodology for Solving the Theater Distribution Vehicle Routing and Scheduling Problem60,99 €![Influence of Anonymity in a Group Problem-Solving Environment]( "Influence of Anonymity in a Group Problem-Solving Environment")
Influence of Anonymity in a Group Problem-Solving Environment59,99 €![An Advanced Tabu Search Approach to Solving the Mixed Payload Airlift Load Planning Problem]( "An Advanced Tabu Search Approach to Solving the Mixed Payload Airlift Load Planning Problem")
An Advanced Tabu Search Approach to Solving the Mixed Payload Airlift Load Planning Problem59,99 €
This research presents a unified approach to representing and solving the multiagent task assignment problem for complex problem domains using ideas central to multiagent task allocation, project scheduling, constraint satisfaction, and coalition formation, forming the basis of the constrained multiagent task scheduling (CMTS) problem. The CMTS descriptor represents a wide range of classical and modern problems, such as job shop scheduling, the traveling salesman problem, vehicle routing, and cooperative multi-object tracking. Problems using the CMTS representation are solvable by a suite of algorithms ranging from simple random scheduling to state-of-the-art biologically inspired approaches incorporating evolutionary algorithms, dynamic coalition formation, auctioning, and behavior-based robotics to highlight different solution generation strategies.