Empirical methods for artificial intelligence
Empirical methods for artificial intelligence
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Swarm intelligence
JADE: a FIPA2000 compliant agent development environment
Proceedings of the fifth international conference on Autonomous agents
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence
Spinning the Semantic Web: Bringing the World Wide Web to Its Full Potential
Spinning the Semantic Web: Bringing the World Wide Web to Its Full Potential
A parallel implementation of ant colony optimization
Journal of Parallel and Distributed Computing - Problems in parallel and distributed computing: Solutions based on evolutionary paradigms
Parallelization Strategies for Ant Colony Optimization
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
ICAL 2003 Proceedings of the eighth international conference on Artificial life
Information-driven phase changes in multi-agent coordination
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
How to calm hyperactive agents
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Ant Colony Optimization
Testing the Efficiency of JADE Agent Platform
ISPDC '04 Proceedings of the Third International Symposium on Parallel and Distributed Computing/Third International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Networks
Embodiment of Evolutionary Computation in General Agents
Evolutionary Computation
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Pheromone learning for self-organizing agents
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Parallel asynchronous control strategy for target search with swarm robots
International Journal of Bio-Inspired Computation
WSEAS Transactions on Computers
Environment organization of roles using polymorphism
E4MAS'05 Proceedings of the 2nd international conference on Environments for Multi-Agent Systems
Swarm intelligence in cloud environment
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
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This paper motivates research into implementing nature-inspired algorithms in decentralised, asynchronous and parallel environments. These characteristics typify environments such as Peer-To-Peer systems, the Grid and autonomic computing which demand robustness, decentralisation, parallelism, asynchronicity and self-organisation. Nature-inspired systems promise these properties. However, current implementations of nature-inspired systems are only loosely based on their natural counterparts. They are generally implemented as synchronous, sequential, centralised algorithms that loop through passive data structures. For their successes to be relevant to the aforementioned new computing environments, variants of these algorithms must work in truely decentralised, parallel and asynchronous Multi-Agent System (MAS) environments. A general methodology is presented for engineering the transfer of nature-inspired algorithms to such a MAS framework. The concept of pheromone infrastructures is reviewed in light of emerging standards for agent platform architecture and interoperability. These ideas are illustrated using a particularly successful nature-inspired algorithm, Ant Colony System for the Travelling Salesman Problem.