Artficial Immune Systems and Their Applications
Artficial Immune Systems and Their Applications
Evolutionary Optimization in Dynamic Environments
Evolutionary Optimization in Dynamic Environments
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
Direct Replacement: A Genetic Algorithm Without Mutation Which Avoids Deception
AI '93/AI '94 Selected papers from the AI'93 and AI'94 Workshops on Evolutionary Computation, Process in Evolutionary Computation
A Comparison of Dominance Mechanisms and Simple Mutation on Non-stationary Problems
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
An artificial immune network for multimodal function optimization on dynamic environments
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Memory-based immigrants for genetic algorithms in dynamic environments
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Immune-Inspired adaptive information filtering
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
Parameter control in evolutionary algorithms
IEEE Transactions on Evolutionary Computation
Autopoiesis, the immune system, and adaptive information filtering
Natural Computing: an international journal
What Happened to Content-Based Information Filtering?
ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory
Immune Learning in a Dynamic Information Environment
ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
Personalised news and scientific literature aggregation
Information Processing and Management: an International Journal
A review of evolutionary and immune-inspired information filtering
Natural Computing: an international journal
A T-cell algorithm for solving dynamic optimization problems
Information Sciences: an International Journal
A review of clonal selection algorithm and its applications
Artificial Intelligence Review
| Hi-index | 0.00 |
Multimodal Dynamic Optimisation is a challenging problem, used in this paper as a framework for the qualitative comparison between Evolutionary Algorithms and Artificial Immune Systems. It is argued that while Evolutionary Algorithms have inherent diversity problems that do not allow them to successfully deal with multimodal dynamic optimisation, the biological immune system involves natural processes for maintaining and boosting diversity and thus serves well as a metaphor for tackling this problem. We review the basic evolutionary and immune-inspired approaches to multimodal dynamic optimisation, we identify correspondences and differences and point out essential computation elements.