Ant algorithms for discrete optimization
Artificial Life
Future Generation Computer Systems
Developing multi-agent systems with a FIPA-compliant agent framework
Software—Practice & Experience
Multi-agent coordination and control using stigmergy
Computers in Industry
Ant Colony Optimization
Design patterns from biology for distributed computing
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
JADE-Based A-Team as a Tool for Implementing Population-Based Algorithms
ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 03
Development of a Multi-Agent System for Travel Industry Support
CIMCA '06 Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce
Particle swarm optimization-based algorithms for TSP and generalized TSP
Information Processing Letters
A capabilities-based model for adaptive organizations
Autonomous Agents and Multi-Agent Systems
Profile based comparative analysis for AOSE methodologies evaluation
Proceedings of the 2008 ACM symposium on Applied computing
Advances in Engineering Software
Review: A review of ant algorithms
Expert Systems with Applications: An International Journal
Moving multi-agent systems from research to practice
International Journal of Agent-Oriented Software Engineering
Multiagent optimization system for solving the traveling salesman problem (TSP)
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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
MAGMA: a multiagent architecture for metaheuristics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Certification of an optimal TSP tour through 85,900 cities
Operations Research Letters
Swarm-based multi-agent simulation: a case study of urban traffic flow in the city of wroclaw
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part II
Proceedings of the 2013 Grand Challenges on Modeling and Simulation Conference
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Swarm intelligence is a rapidly growing branch of artificial intelligence with numerous heuristics being developed. These offer faster and more accurate ways to achieve good solutions. Ant colony optimization (ACO) and particle swarm optimization (PSO) are the most common metaheuristics. Based on the behaviour of collectives of ants, birds, fish and others, they offer algorithms which can be used to solve different NP-hard problems. Multi-agent systems (MAS) offer new perspectives on organisation of code into specific components as autonomic, decentralized or distributed agents. The Multi-agent Systems Engineering (MaSE) methodology allows the combination of both aforementioned approaches. This paper presents research based on the AgentSwarm application which evaluates the efficiency of applying MaSE methodology to solve the traveling salesman problem (TSP) using ACO and PSO metaheuristics. Initial results have shown that MaSE is a comprehensive methodology, solid and reliable in building and developing swarm-based multi-agent systems.