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Search modes for the cooperative multi-agent system solving the vehicle routing problem

  • Published:2012-07 Issue: Volume:88 Page:13-23
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Barbucha Dariusz

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference38 articles.

1. Parallel Meta-Heuristics: A New Class of Algorithms;Alba,2005

2. e-JABAT—an implementation of the web-based A-Team;Barbucha,2009

3. Cooperative solution to the vehicle routing problem;Barbucha,2010

4. Synchronous vs asynchronous cooperative approach to solving the vehicle routing problem;Barbucha,2010

5. JABAT middleware as a tool for solving optimization problems;Barbucha;Trans. Comput. Collect. Intell.,2010

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1. Prescribed time group output consensus for multiagent system via an observer-based approach;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2024-02-27

2. A multi-agent approach to the truck multi-drone routing problem;Expert Systems with Applications;2022-06

3. Planning Algorithm for Route and Task Allocation of Plant Protection UAVs in Multiple Operating Areas;Mathematical Problems in Engineering;2022-05-26

4. Assessing a swarm-GAP based solution for the task allocation problem in dynamic scenarios;Expert Systems with Applications;2020-08

5. Adaptive output feedback control for fractional-order multi-agent systems;ISA Transactions;2020-01
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