Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
A Representation for the Adaptive Generation of Simple Sequential Programs
Proceedings of the 1st International Conference on Genetic Algorithms
Artificial Immune Recognition System (AIRS): An Immune-Inspired Supervised Learning Algorithm
Genetic Programming and Evolvable Machines
Information Sciences: an International Journal
Artificial immune system programming for symbolic regression
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation
An Immune Algorithm for Protein Structure Prediction on Lattice Models
IEEE Transactions on Evolutionary Computation
Genetic programming for simultaneous feature selection and classifier design
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An introduction to simulated evolutionary optimization
IEEE Transactions on Neural Networks
Induction machine fault detection using clone selection programming
Expert Systems with Applications: An International Journal
Grammar-Based Immune Programming for Symbolic Regression
ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
Grammar-based immune programming
Natural Computing: an international journal
Inferring systems of ordinary differential equations via grammar-based immune programming
ICARIS'11 Proceedings of the 10th international conference on Artificial immune systems
Artificial bee colony programming for symbolic regression
Information Sciences: an International Journal
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A new idea 'clone selection programming (CSP)' is introduced in this paper. The proposed methodology is used for deriving new algorithms in the area of evolutionary computing aimed at solving a wide range of problems. In CSP, antibodies represent candidate solutions, which are encoded according to the structure of antibody. The antibodies are able to keep syntax correct even they are changed with iterations. Also, the clone selection principle is developed as a search strategy. The proposed strategies have been thoroughly evaluated by intensive simulations. The results demonstrate the effectiveness and excellent convergent qualities of the CSP based search strategy. In our study, the convergence rate with respect to population size and other parameters is studied. A thorough comparative study between our proposed CSP based method with the gene expression programming (GEP), and immune programming (IP) are included. The comparative results show that the CSP based method can significantly improve the program performance. The experimental results indicate that the proposed method is very robust under all the investigated cases.