Swarm intelligence
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
How to Solve It: Modern Heuristics
How to Solve It: Modern Heuristics
An artificial immune network for multimodal function optimization on dynamic environments
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Particle swarm with speciation and adaptation in a dynamic environment
Proceedings of the 8th annual conference on Genetic and evolutionary computation
B-Cell Algorithm as a Parallel Approach to Optimization of Moving Peaks Benchmark Tasks
CISIM '07 Proceedings of the 6th International Conference on Computer Information Systems and Industrial Management Applications
Multi-strategy ensemble particle swarm optimization for dynamic optimization
Information Sciences: an International Journal
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Immunological Computation: Theory and Applications
Immunological Computation: Theory and Applications
Immune K-means and negative selection algorithms for data analysis
Information Sciences: an International Journal
Immune-based algorithms for dynamic optimization
Information Sciences: an International Journal
A robust scheduling method based on a multi-objective immune algorithm
Information Sciences: an International Journal
Properties of Quantum Particles in Multi-Swarms for Dynamic Optimization
Fundamenta Informaticae
Near-optimal solution to pair-wise LSB matching via an immune programming strategy
Information Sciences: an International Journal
Baldwinian learning in clonal selection algorithm for optimization
Information Sciences: an International Journal
Immune inspired somatic contiguous hypermutation for function optimisation
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Multimodal dynamic optimization: from evolutionary algorithms to artificial immune systems
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
Multiswarms, exclusion, and anti-convergence in dynamic environments
IEEE Transactions on Evolutionary Computation
Dynamic evolutionary membrane algorithm in dynamic environments
EvoCOP'13 Proceedings of the 13th European conference on Evolutionary Computation in Combinatorial Optimization
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In this paper, a metaheuristic inspired on the T-Cell model of the immune system (i.e., an artificial immune system) is introduced. The proposed approach (called DTC, for Dynamic T-Cell) is used to solve dynamic optimization problems, and is validated using test problems taken from the specialized literature on dynamic optimization. Results are compared with respect to artificial immune approaches representative of the state-of-the-art in the area. Some statistical analyses are also performed, in order to determine the sensitivity of the proposed approach to its parameters.