The society of mind
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Outline for a Logical Theory of Adaptive Systems
Journal of the ACM (JACM)
Stigmergy, self-organization, and sorting in collective robotics
Artificial Life
On how pachycondyla apicalis ants suggest a new search algorithm
Future Generation Computer Systems
The organization of work in social insect colonies
Complexity - Special issue: Selection, tinkering, and emergence in complex networks
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
Hybridisation of particle swarm optimisation with area concentrated search
International Journal of Knowledge-based and Intelligent Engineering Systems
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In recent years a considerable amount of natural computing research has been undertaken to exploit the analogy between, say, searching a given problem space for an optimal solution and the natural process of foraging for food. Such analogies have led to useful solutions in areas such as optimisation, prominent examples being ant colony systems and particle swarm optimisation. However, these solutions often rely on well defined fitness landscapes that are not always be available in more general search scenarios. This paper surveys a wide variety of behaviours observed within the natural world, and aims to highlight general cooperative group behaviours, search strategies and communication methods that might be useful within a wider computing context, beyond optimisation, where information from the fitness landscape may be sparse, but new search paradigms could be developed that capitalise on research into biological systems that have developed over millennia within the natural world.