Nonstationary function optimization using genetic algorithm with dominance and diploidy
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Computational experience with generalized simulated annealing over continuous variables
American Journal of Mathematical and Management Sciences
Learning using an artificial immune system
Journal of Network and Computer Applications - Special issue on intelligent systems: design and applications. Part 2
Communications of the ACM
New ideas in optimization
Artificial Intelligence
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
Case-Based Initialization of Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
Genetic Algorithms for Tracking Changing Environments
Proceedings of the 5th International Conference on Genetic Algorithms
Adaptation to a Changing Environment by Means of the Feedback Thermodynamical Genetic Algorithm
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Performance Measures for Dynamic Environments
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Hints for Adaptive Problem Solving Gleaned from Immune Networks
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
Tracking Extrema in Dynamic Environments
EP '97 Proceedings of the 6th International Conference on Evolutionary Programming VI
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
Towards an analysis of dynamic environments
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Immune inspired somatic contiguous hypermutation for function optimisation
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Unified particle swarm optimization for solving constrained engineering optimization problems
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Analysis and modeling of control tasks in dynamic systems
IEEE Transactions on Evolutionary Computation
Evolutionary optimization in uncertain environments-a survey
IEEE Transactions on Evolutionary Computation
Multiswarms, exclusion, and anti-convergence in dynamic environments
IEEE Transactions on Evolutionary Computation
Properties of Quantum Particles in Multi-Swarms for Dynamic Optimization
Fundamenta Informaticae
Baldwinian learning in clonal selection algorithm for optimization
Information Sciences: an International Journal
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
Information Sciences: an International Journal
Artificial immune multi-objective SAR image segmentation with fused complementary features
Information Sciences: an International Journal
A T-cell algorithm for solving dynamic optimization problems
Information Sciences: an International Journal
Properties of Quantum Particles in Multi-Swarms for Dynamic Optimization
Fundamenta Informaticae
Bio-inspired enhancement of reputation systems for intelligent environments
Information Sciences: an International Journal
Modelling and recognition of signed expressions using subunits obtained by data---driven approach
AIMSA'12 Proceedings of the 15th international conference on Artificial Intelligence: methodology, systems, and applications
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The main problem with biologically inspired algorithms (like evolutionary algorithms or particle swarm optimization) when applied to dynamic optimization is to force their readiness for continuous search for new optima occurring in changing locations. Immune-based algorithm, being an instance of an algorithm that adapt by innovation seem to be a perfect candidate for continuous exploration of a search space. In this paper we describe various implementations of the immune principles and we compare these instantiations on complex environments.