Communications of the ACM
The evolution and analysis of potential antibody library for use in job-shop scheduling
New ideas in optimization
Immune network modelling in design optimization
New ideas in optimization
Advances in Engineering Software
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
A Hybrid Genetic Algorithm for Highly Constrained Timetabling Problems
Proceedings of the 6th International Conference on Genetic Algorithms
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation
Application areas of AIS: The past, the present and the future
Applied Soft Computing
Theoretical advances in artificial immune systems
Theoretical Computer Science
Immune-based algorithms for dynamic optimization
Information Sciences: an International Journal
On the utility of the population size for inversely fitness proportional mutation rates
Proceedings of the tenth ACM SIGEVO workshop on Foundations of genetic algorithms
Large-scale optimization using immune algorithm
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
Comparing Different Aging Operators
ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
Hybrid immune algorithm with intelligent recombination
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Baldwinian learning in clonal selection algorithm for optimization
Information Sciences: an International Journal
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
A Survey of artificial immune applications
Artificial Intelligence Review
A new immune algorithm and its application
WSEAS Transactions on Computers
An immune memory clonal algorithm for numerical and combinatorial optimization
Frontiers of Computer Science in China
Analyzing different variants of immune inspired somatic contiguous hypermutations
Theoretical Computer Science
On benefits and drawbacks of aging strategies for randomized search heuristics
Theoretical Computer Science
A hybrid approach for learning concept hierarchy from Malay text using artificial immune network
Natural Computing: an international journal
A T-cell algorithm for solving dynamic optimization problems
Information Sciences: an International Journal
On the analysis of the immune-inspired B-cell algorithm for the vertex cover problem
ICARIS'11 Proceedings of the 10th international conference on Artificial immune systems
Variation in artificial immune systems: hypermutations with mutation potential
ICARIS'11 Proceedings of the 10th international conference on Artificial immune systems
A review of clonal selection algorithm and its applications
Artificial Intelligence Review
Diophantine benchmarks for the b-cell algorithm
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
A population adaptive based immune algorithm for solving multi-objective optimization problems
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
Immune algorithm optimization of membership functions for mining association rules
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
An immunological algorithm for global numerical optimization
EA'05 Proceedings of the 7th international conference on Artificial Evolution
Artificial immune systems: an emergent technology for autonomous intelligent systems and data mining
AIS-ADM 2005 Proceedings of the 2005 international conference on Autonomous Intelligent Systems: agents and Data Mining
Handling constraints in global optimization using an artificial immune system
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
A Markov chain model of the b-cell algorithm
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Artificial immune systems for optimisation
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Clonal selection: an immunological algorithm for global optimization over continuous spaces
Journal of Global Optimization
Engineering Applications of Artificial Intelligence
Computing longest common subsequences with the B-cell algorithm
ICARIS'12 Proceedings of the 11th international conference on Artificial Immune Systems
Mutation rate matters even when optimizing monotonic functions
Evolutionary Computation
Artificial immune systems for optimisation
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Design of a parallel immune algorithm based on the germinal center reaction
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
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When considering function optimisation, there is a trade off between quality of solutions and the number of evaluations it takes to find that solution. Hybrid genetic algorithms have been widely used for function optimisation and have been shown to perform extremely well on these tasks. This paper presents a novel algorithm inspired by the mammalian immune system, combined with a unique mutation mechanism. Results are presented for the optimisation of twelve functions, ranging in dimensionality from one to twenty. Results show that the immune inspired algorithm performs significantly fewer evaluations when compared to a hybrid genetic algorithm, whilst not sacrificing quality of the solution obtained.