Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Future Generation Computer Systems
Future Generation Computer Systems
Swarm intelligence
Autonomous agents and multi-agent systems: explorations in learning, self-organization and adaptive computation
Formation of an ant cemetery: swarm intelligence or statistical accident?
Future Generation Computer Systems - Cellular automata CA 2000 and ACRI 2000
Evolutionary Optimization Versus Particle Swarm Optimization: Philosophy and Performance Differences
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
An Evolutionary Immune Network for Data Clustering
SBRN '00 Proceedings of the VI Brazilian Symposium on Neural Networks (SBRN'00)
Using genetic algorithms to explore pattern recognition in the immune system
Evolutionary Computation
Artificial immune system for multi-objective design optimization of composite structures
Engineering Applications of Artificial Intelligence
Emergence of collective strategies in a prey-predator game model
Artificial Life
Integral Particle Swarm Optimization with Dispersed Accelerator Information
Fundamenta Informaticae - Swarm Intelligence
An immunological approach to change detection: algorithms, analysis and implications
SP'96 Proceedings of the 1996 IEEE conference on Security and privacy
An artificial immune system based algorithm to solve unequal area facility layout problem
Expert Systems with Applications: An International Journal
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
Optimal sequencing of design projects' activities using discrete particle swarm optimisation
International Journal of Bio-Inspired Computation
Optimal design of constraint engineering systems: application of mutable smart bee algorithm
International Journal of Bio-Inspired Computation
International Journal of Bio-Inspired Computation
Bio-inspired computation: success and challenges of IJBIC
International Journal of Bio-Inspired Computation
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Swarm intelligence SI and artificial immune system AIS are both derived from imitation of nature biology system. Their common characteristic is that they both have simple individuals but appear emergence characteristic in population level through interaction among individuals. In order to explore inherent similarity and difference of complex system, we take two typical forms of swarm intelligence ant colony system and particle swarm optimisation, and AIS as objectives to study this characteristic in this paper. First, we discuss the similarity between two biology systems from system structure and operation mechanism. In addition, we also illustrate the difference between two systems from algorithm design, individual diversity and shape space. At the end of the paper, numerical experiment is used to test the performance of swarm intelligence techniques and AIS, where benchmark test functions include unimodal and multimodal function optimisation problems. Besides, combined with a concrete example, travelling salesman problem TSP, the generality and feature of these two systems in solving complex problems are discussed in detail. The objective of the paper is to set up inherent connection and difference between two unlike systems, which not only has important theoretical significance but also has significant actual value to reveal production and operation mechanism of human intelligence.