NDLI: Swarms of Metaheuristic Agents: A Model for Collective intelligence

Content Provider	IEEE Xplore Digital Library
Author	Aydin, M.E. Wu, J. Liang Zhang
Copyright Year	2010
Abstract	Swarm intelligence algorithms are created to build collective intelligence based on inherent properties of populations. However, this sort of problem solving approaches use collective evolution of solutions, which make up the population relied on. Therefore the collective behaviour development is omitted. This paper addresses agentification of individuals forming up swarms, populations considered in problem solving using swarm intelligence algorithms. As each agentified individual will keep its own intelligence and use it in problem solving, the swarm intelligence algorithms used will be coordinating the agents and be supporting them in diversification of the search. This paper describes a framework of swarms of metaheuristic agents for problem solving and discusses the performance of particle swarm optimisation algorithms for purpose regarding the homogeneity in agents.
Starting Page	296
Ending Page	301
File Size	176287
Page Count	6
File Format	PDF
ISBN	9781424485383
DOI	10.1109/3PGCIC.2010.49
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-04
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cooling Collaboration Simulated annealing Collective intelligence Search problems Swarm intelligence Problem-solving Metaheuristic agents Particle swarm optimization
Content Type	Text
Resource Type	Article

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